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Mathematics Faculty: Publications since January 2025

List all publications in the database.    :chronological  alphabetical  combined  bibtex listing:

Agarwal, Pankaj K.

  1. Agarwal, PK; Aronov, B; Ezra, E; Katz, MJ; Sharir, M, Intersection Queries for Flat Semi-Algebraic Objects in Three Dimensions and Related Problems, ACM Transactions on Algorithms, vol. 21 no. 3 (June, 2025) [doi]  [abs]
  2. Agarwal, PK; Har-Peled, S, Computing Instance-Optimal Kernels in Two Dimensions, Discrete and Computational Geometry, vol. 73 no. 3 (April, 2025), pp. 674-701 [doi]  [abs]
  3. Comendul, A; Ruf-Zamojski, F; Ford, CT; Agarwal, P; Zaslavsky, E; Nudelman, G; Hariharan, M; Rubenstein, A; Pincas, H; Nair, VD; Michaleas, AM; Fremont-Smith, PD; Ricke, DO; Sealfon, SC; Woods, CW; Claypool, KT; Jaimes, R, Comprehensive guide for epigenetics and transcriptomics data quality control., STAR Protoc, vol. 6 no. 1 (March, 2025), pp. 103607 [doi]  [abs]
  4. Agarwal, PK; Aronov, B; Geft, T; Halperin, D, On Two-Handed Planar Assembly Partitioning with Connectivity Constraints, ACM Transactions on Algorithms, vol. 21 no. 2 (March, 2025) [doi]  [abs]
  5. Agarwal, PK; Ezra, E, Line Intersection Searching Amid Unit Balls in 3-Space, Algorithmica, vol. 87 no. 2 (February, 2025), pp. 223-241 [doi]  [abs]
  6. Agarwal, PK; Ezra, E; Sharir, M, Semi-Algebraic Off-line Range Searching and Biclique Partitions in the Plane, Discrete and Computational Geometry (January, 2025) [doi]  [abs]

Aquino, Wilkins

  1. Nezdyur, M; Dolbow, J; Frank-Ito, DO; Aquino, W, Embedded FEM with strongly-enforced interface conditions for incompressible flow with moving boundaries, Computer Methods in Applied Mechanics and Engineering, vol. 445 (October, 2025) [doi]  [abs]
  2. Chen, MJ; Sivakumar, K; Banyay, GA; Golchert, BM; Walsh, TF; Zavlanos, MM; Aquino, W, Sequential sensor placement for damage detection under frequency-domain dynamics, Finite Elements in Analysis and Design, vol. 246 (April, 2025) [doi]  [abs]

Aspinwall, Paul S.

  1. Aspinwall, PS, String moduli spaces and parabolic factorizations, Journal of High Energy Physics, vol. 2025 no. 3 (March, 2025) [doi]  [abs]

Bertozzi, Andrea L

  1. J. B. Greer and A. L. Bertozzi, H-1 solutions of a class of fourth order nonlinear equations for image processing, Discrete And Continuous Dynamical Systems, vol. 10 no. 1-2 (2004), pp. 349 -- 366

Bryant, Robert   (search)

  1. Bryant, R; Ziller, W; Florit, L, Curvature homogeneous hypersurfaces in space forms, Advances in Mathematics (May, 2025), Elsevier [doi]  [abs]

Buck, Dorothy

  1. Baker, KL; Buck, D; Moore, AH; O’donnol, D; Taylor, S, PRIMALITY OF THETA-CURVES WITH PROPER RATIONAL TANGLE UNKNOTTING NUMBER ONE, Transactions of the American Mathematical Society Series B, vol. 12 (January, 2025), pp. 276-297 [doi]  [abs]
  2. Buck, D, Knotting and Linking of Macromolecules, in Princeton Companion to Applied Mathematics (January, 2025), pp. 752-755

Calderbank, Robert

  1. Mehrotra, N; Mattu, SR; Calderbank, R, Zak-OTFS With Spread Carrier Waveforms, IEEE Wireless Communications Letters, vol. 14 no. 10 (January, 2025), pp. 3244-3248 [doi]  [abs]
  2. Saeed, U; Calderbank, R; Zeng, K; Serena Bentley, E; Huie-Seversky, L; Said, K; Liu, L, Key Generation and Secrecy Analysis Using OTFS for TDD Systems, IEEE Transactions on Wireless Communications, vol. 24 no. 8 (January, 2025), pp. 6275-6289 [doi]  [abs]
  3. Jayachandran, J; Khan, IA; Mohammed, SK; Hadani, R; Chockalingam, A; Calderbank, R, Zak-OTFS With Interleaved Pilots to Extend the Region of Predictable Operation, IEEE Transactions on Vehicular Technology, vol. 74 no. 11 (January, 2025), pp. 17545-17559 [doi]  [abs]
  4. Yang, S; Calderbank, R, Spatially-Coupled QLDPC Codes, Quantum, vol. 9 (January, 2025) [doi]  [abs]
  5. Mattu, SR; Mehrotra, N; Calderbank, R, Differential Communication in Channels With Mobility and Delay Spread Using Zak-OTFS, IEEE Wireless Communications Letters, vol. 14 no. 11 (January, 2025), pp. 3680-3684 [doi]  [abs]

Chan, Chi Wei C.

  1. Qu, Y; Ji, B; Dong, R; Gu, L; Chan, C; Xie, J; Glass, C; Wang, X-F; Nixon, AB; Ji, Z, Single-cell and spatial detection of senescent cells using DeepScence., Cell Genom, vol. 5 no. 12 (December, 2025), pp. 101035 [doi]  [abs]
  2. Conley, HE; Oh, SY; Garrett, N; Kublin, J; Monaco, CL; Watts, S; Jha, S; Ferrari, G; Tomaras, GD; Geraghty, DE; Chan, C; Pollara, J, IgG and Fc Receptor Genetic Variation Associates With Functional Antibody Responses in a DNA and Protein Candidate HIV Vaccine Trial., J Acquir Immune Defic Syndr, vol. 100 no. 4 (December, 2025), pp. 371-375 [doi]  [abs]
  3. Manuel, TD; Moström, MJ; Crooks, CM; Davalos, A; Barfield, R; Scheef, EA; Kendall, S; Midkiff, CC; Sprehe, LM; Trexler, ME; Boquet, FA; Shroyer, MN; Danner, VW; Doyle-Meyers, LA; Weinbaum, C; Mirza, A; Lammi, S; Mitchell, L; Otero, CE; Lee, MR; Rogers, LW; Granek, J; Owzar, K; Malouli, D; Früh, K; Kowalik, TF; Chan, C; Permar, SR; Blair, RV; Kaur, A, A rhesus macaque model of congenital cytomegalovirus infection reveals a spectrum of vertical transmission outcomes., Commun Biol, vol. 8 no. 1 (November, 2025), pp. 1647 [doi]  [abs]
  4. Obregon-Perko, V; Awasthi, A; Barfield, R; Berendam, SJ; Yagnik, B; Styles, T; Tharp, G; Gupta, PM; Mensah, G; Neja, M; Kumar, M; Fray, E; Bu, F; Pollara, J; Tuyishime, M; Ferrari, G; Siliciano, JD; Siliciano, RF; Mavigner, M; Silvestri, G; Amara, RR; Bosinger, S; Fouda, GG; Permar, SR; Chan, C; Chahroudi, A, Identifying correlates of viral rebound timing and viral control in SHIV-infected infant macaques after ART interruption., Sci Transl Med, vol. 17 no. 822 (October, 2025), pp. eadq1965 [doi]  [abs]
  5. Horiguchi, A; Chan, C; Ma, L, A Tree Perspective on Stick-Breaking Models in Covariate-Dependent Mixtures (with Discussion)∗, Bayesian Analysis, vol. 20 no. 3 (September, 2025), pp. 1139-1230 [doi]  [abs]
  6. Wang, H-Y; Taher, H; Kreklywich, CN; Schmidt, KA; Scheef, EA; Barfield, R; Otero, CE; Valencia, SM; Zhang, K; Callahan, C; Monticolo, F; Qiao, Y; Gilbride, RM; Crooks, CM; Mirza, A; Knight, K; Moström, MJ; Manuel, TD; Sprehe, L; Kendall, S; Burgt, NV; Kowalik, TF; Barry, PA; Hansen, SG; Shu, J; Tarantal, AF; Chan, C; Streblow, DN; Picker, LJ; Kaur, A; Früh, K; Permar, SR; Malouli, D, The pentameric complex is not required for congenital CMV transmission in seronegative rhesus macaques., Sci Transl Med, vol. 17 no. 789 (March, 2025), pp. eadm8961 [doi]  [abs]
  7. Otero, CE; Petkova, S; Ebermann, M; Taher, H; John, N; Hoffmann, K; Davalos, A; Moström, MJ; Gilbride, RM; Papen, CR; Barber-Axthelm, A; Scheef, EA; Barfield, R; Sprehe, LM; Kendall, S; Manuel, TD; Beechwood, T; Nguyen, LK; Vande Burgt, NH; Chan, C; Denton, M; Streblow, ZJ; Streblow, DN; Tarantal, AF; Hansen, SG; Kaur, A; Permar, S; Früh, K; Hengel, H; Malouli, D; Kolb, P, Rhesus Cytomegalovirus-encoded Fcγ-binding glycoproteins facilitate viral evasion from IgG-mediated humoral immunity., Nat Commun, vol. 16 no. 1 (January, 2025), pp. 1200 [doi]  [abs]
  8. Nettere, D; White, S; Williams, G; Jha, S; Moody, MA; Chan, C; Ferrari, G; Naggie, S, Coinfection with HIV-1 skews iNKT cells toward TCR anergy and limited expansion potential in people with hepatitis C., Front Immunol, vol. 16 (2025), pp. 1469473 [doi]  [abs]

Cheng, Xiuyuan

  1. Calder, J; Cheng, X; Oberman, A; Ruthotto, L, PDEs for machine learning, Research in Mathematical Sciences, vol. 12 no. 3 (September, 2025) [doi]
  2. Li, R; Qu, R; Parisi, F; Strino, F; Lam, H; Stanley, JS; Cheng, X; Myung, P; Kluger, Y, Cluster-independent multiscale marker identification in single-cell RNA-seq data using localized marker detector (LMD)., Communications biology, vol. 8 no. 1 (July, 2025), pp. 1058 [doi]  [abs]
  3. Qu, R; Cheng, X; Sefik, E; Stanley Iii, JS; Landa, B; Strino, F; Platt, S; Garritano, J; Odell, ID; Coifman, R; Flavell, RA; Myung, P; Kluger, Y, Gene trajectory inference for single-cell data by optimal transport metrics., Nature biotechnology, vol. 43 no. 2 (February, 2025), pp. 258-268 [doi]  [abs]
  4. Xu, C; Cheng, X; Xie, Y, Computing high-dimensional optimal transport by flow neural networks, Proceedings of Machine Learning Research, vol. 258 (January, 2025), pp. 2872-2880  [abs]
  5. Purohit, V; Repasky, M; Lu, J; Qiu, Q; Xie, Y; Cheng, X, Consistency Posterior Sampling for Diverse Image Synthesis, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (January, 2025), pp. 28327-28336 [doi]  [abs]

Ciocanel, Maria-Veronica

  1. Nelson, AC; McKinley, SA; Rolls, MM; Ciocanel, M-V, Emergent microtubule properties in a model of filament turnover and nucleation., Journal of theoretical biology, vol. 616 (January, 2026), pp. 112254, Elsevier BV [doi]  [abs]
  2. Wieczynski, DJ; Giglietti, MM; Sortisio, N; Han, Z-Y; Yuan, Y; Onishi, M; Ciocanel, M-V; Gibert, JP, Intraspecific Reaction Norm Variation Controls the Eco-Evolutionary Consequences of Environmental Change., The American naturalist, vol. 207 no. 1 (January, 2026), pp. 90-107 [doi]  [abs]
  3. Scanlon, HG; Mahata, G; Nelson, AC; McKinley, SA; Rolls, MM; Ciocanel, M-V, Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites., Mathematical biosciences, vol. 389 (November, 2025), pp. 109538 [doi]  [abs]
  4. Ciocanel, M-V; Nardini, JT; Flores, KB; Rutter, EM; Sindi, SS; Volkening, A, Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL) (June, 2025)
  5. Ciocanel, M-V; Gandhi, P; Niklas, K; Dawes, AT, Characterizing symmetry transitions in systems with dynamic morphology., Mathematical biosciences, vol. 384 (June, 2025), pp. 109431 [doi]  [abs]

Dasgupta, Samit

  1. Dasgupta, S; Honnor, MHL; Spieß, M, On the equality of three formulas for Brumer–Stark units, Journal of the London Mathematical Society, vol. 112 no. 4 (October, 2025) [doi]  [abs]

Deng, Haohua

  1. Deng, H; Gallardo, P, EIGENPERIODS AND THE MODULI OF POINTS IN THE LINE, Nagoya Mathematical Journal (January, 2025) [doi]  [abs]

Donald, Bruce R.

  1. L. Wang and R. Mettu and B. R. Donald, An Algebraic Geometry Approach to Protein Backbone Structure Determination from NMR Data, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2005), pp. 235--246, Stanford, CA
  2. B. R. Donald and C. Levey and C. McGray and I. Paprotny and D. Rus, A Steerable, Untethered, 250 $\times$ 60 $\mu$m MEMS Mobile Micro-Robot, in Proceedings of the 12th {\it International Symposium of Robotics Research (ISRR)} (2005), San Francisco, CA.
  3. C. Langmead and B. R. Donald, A Framework for Automated NMR Resonance Assignments and 3D Structural Homology Detection (2004), Ventura, CA ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.)
  4. L. Wang and R. Mettu and R. Lilien and A. Yan and B. R. Donald, Exact Solutions for Internuclear Vectors and Dihedral Angles from Two RDCs and Their Application in a Systematic Search Algorithm for Determining Protein Backbone Structure (2004), Ventura, CA ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.)
  5. Ryan H. Lilien and Mohini Sridharan and Bruce R. Donald, {Identification of Novel Small Molecule Inhibitors of Core-Binding Factor Dimerization by Computational Screening against NMR Molecular Ensembles} no. TR2004-492 (2004), Hanover, NH [pdf]
  6. B. R. Donald, Plenary lecture: Algorithmic Challenges in Structural Molecular Biology and Proteomics, in Proceedings of the Sixth International Workshop on the Algorithmic Foundations of Robotics (WAFR) (2004), pp. 1--10, University of Utrecht, Utrecht/Zeist, The Netherlands
  7. C. Langmead and B. R. Donald, High-Throughput 3D homology Detection via NMR Resonance Assignment, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 522, San Diego
  8. A. Yan and C. Langmead and B. R. Donald, A Probability-Based Similarity Measure for Saupe Alignment Tensors with Applications to Residual Dipolar Couplings in NMR Structural Biology, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 437--438, San Diego
  9. L. Wang and B. R. Donald, Analysis of a Systematic Search-Based Algorithm for Determining Protein Backbone Structure from a Minimal Number of Residual Dipolar Couplings, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2004), pp. 319--330, Stanford, CA
  10. A. Anderson and R. Lilien and V. Popov and B. R. Donald, Ensembles of Active Site Conformations Allow Structure-Based Redesign and Drug Design (2003), New Orleans ({\poster} {\it 225th American Chemical Society National Meeting}.)
  11. Christopher J. Langmead and Bruce R. Donald, {An Improved Nuclear Vector Replacement Algorithm for Nuclear Magnetic Resonance Assignment} no. TR2004-494 (2003), Hanover, NH [pdf]
  12. B. R. Donald and C. Levey and C. McGray and D. Rus and M. Sinclair, Untethered Micro-Actuators for Autonomous Micro-robot Locomotion: Design, Fabrication, Control, and Performance, in Proceedings of the 11th {\it International Symposium of Robotics Research} (2003), Siena, Italy
  13. R. Lilien and A. Anderson and B. Donald, Modeling Protein Flexibility for Structure-Based Active Site Redesign, in Currents in Computational Molecular Biology, The Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by L. Florea and others (2002), pp. 122-123, Washington DC
  14. C. J. Langmead and B. R. Donald, Time-frequency Analysis of Protein NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  15. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  16. R. Lilien and M. Sridharan and X. Huang and J. H. Bushweller and B. R. Donald, Computational Screening Studies for Core Binding Factor Beta: Use of Multiple Conformations to Model Receptor Flexibility (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  17. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data, in The Fourth Annual International Conference on Research in Computational Molecular Biology ({RECOMB-2000}) (2000), pp. 33--44
  18. C. Bailey-Kellogg and F. Zhao and B. R. Donald, Spatial Aggregation in Scientific Data Mining, in Proceedings of the First SIAM Conference on Computational Science and Engineering (2000), Washington, DC
  19. K.-F.~B{\"o}hringer and B.~R.~Donald and N.~C.~MacDonald, {\em Programmable Vector Fields for Distributed Manipulation, with Applications to MEMS Actuator Arrays and Vibratory Parts Feeders}, International Journal of Robotics Research, vol. 18 no. 2 (1999)
  20. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Force Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999)
  21. K.-F. B{\"o}hringer and B. R. Donald and F. Lamiraux and L. Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Vector Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999), Detroit
  22. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, A Single Universal Force Field Can Uniquely Pose Any Part Up To Symmetry, in 9th International Symposium of Robotics Research (ISRR) (1999)
  23. B. R. Donald and L. Gariepy and D. Rus, Experiments in Constrained Prehensile Manipulation: Distributed Manipulation with Ropes, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999), Detroit
  24. J.~Suh and B.~Darling and K.-F.~B{\"o}hringer and B.~R.~Donald and H.~Baltes and G.~Kovacs, CMOS Integrated Organic Ciliary Actuator Array as a General-Purpose Micromanipulation Tool, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999)
  25. K.-F. B{\"o}hringer and B. R. Donald, Algorithmic MEMS, in Proceedings of the 3rd International Workshop on the Algorithmic Foundations of Robotics WAFR (1998), Houston, TX
  26. A. Briggs and B. R. Donald, Robust Geometric Algorithms for Sensor Planning, in Proceedings of the International Workshop on the Algorithmic Foundations of Robotics WAFR (1996), Toulouse, France
  27. B. R. Donald and J. Jennings and D. Rus, Cooperating Autonomous Mobile Robots: Theory and Experiments (1994), MIT, Cambridge, MA (Poster, {\it NSF Design and Manufacturing Grantees Conference}.)
  28. B. R. Donald and D. Pai, The Motion of Planar Compliantly-Connected Rigid Bodies in Contact, with Applications to Automatic Fastening, International Journal of Robotics Research, vol. 12 no. 4 (1993), pp. 307--338
  29. R. Brown and P. Chew and B. R. Donald, Mobile Robots, Map-making, Shape Metrics, and Localization, in Proceedings of the International Association of Science and Technology for Development (IASTED) International Conference on Robotics and Manufacturing (1993), Oxford, England
  30. J. Jennings and D. Rus and B. R. Donald, Experimental Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Dynamically Interacting Robots (1993), Chambery, France
  31. B. R. Donald and J. Jennings and D. Rus, Towards a Theory of Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Symposium of Robotics Research ISRR (1993), Hidden Valley, PA
  32. B. R. Donald, Robot Motion Planning, IEEE Trans. on Robotics and Automation, vol. 8 no. 2 (1992)
  33. J. Canny and B. R. Donald and G. Ressler, A Rational Rotation Method for Robust Geometric Algorithms, in Proc. ACM Symposium on Computational Geometry (1992), pp. 251--260, Berlin
  34. J. Jennings and B. R. Donald, Programming Autonomous Agents: A theory of Perceptual Equivalence, in Proceedings of the 1st AAAI Fall Symposium on Sensory Aspects of Robotic Intelligence (1991), Asilomar, CA
  35. B. R. Donald and P. Xavier, A Provably Good Approximation Algorithm for Optimal-Time Trajectory Planning, in Proc. IEEE International Conference on Robotics and Automation (1989), pp. 958--964, Scottsdale, AZ
  36. B. R. Donald, The Complexity of Planar Compliant Motion Planning with Uncertainty, in Proc. 4th ACM Symposium on Computational Geometry (1988), pp. 309--318, Urbana. IL
  37. B. R. Donald, A Theory of Error Detection and Recovery: Robot Motion Planning with Uncertainty in the Geometric Models of the Robot and Environment, in Proceedings of the International Workshop on Geometric Reasoning (1986), Oxford University, England

Dong, Conghan

  1. Chen, X; Dong, C, Volume Gap Theorems for Ricci Nonnegative Metrics and Einstein Metrics, Journal of Mathematical Study, vol. 58 no. 2 (January, 2025), pp. 133-144 [doi]  [abs]
  2. Dong, C; Song, A, Stability of Euclidean 3-space for the positive mass theorem, Inventiones Mathematicae, vol. 239 no. 1 (January, 2025), pp. 287-319 [doi]  [abs]

Dunlap, Alexander J

  1. Dunlap, A, Simultaneous global inviscid Burgers flows with periodic Poisson forcing, Annales Henri Lebesgue, vol. 8 (December, 2025), pp. 873-923, Cellule MathDoc/Centre Mersenne [doi]  [abs]
  2. Dunlap, A; Graham, C, Edwards–Wilkinson fluctuations in subcritical 2D stochastic heat equations, Electronic Communications in Probability, vol. 30 no. none (December, 2025), pp. 11 pages, Institute of Mathematical Statistics [doi]
  3. Dunlap, A; Mukherjee, C, Additive-multiplicative stochastic heat equations, stationary solutions, and Cauchy statistics, Annals of Applied Probability, vol. 35 no. 4 (August, 2025), pp. 2526-2543 [doi]  [abs]
  4. Dunlap, A; Graham, C, Uniqueness and root-Lipschitz regularity for a degenerate heat equation, SIAM Journal on Mathematical Analysis, vol. 57 no. 2 (January, 2025), pp. 1866-1891, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]

Dunson, David B.   (search)

  1. Ovaskainen, O; Winter, S; Tikhonov, G; Abrego, N; Anslan, S; deWaard, JR; deWaard, SL; Fisher, BL; Furneaux, B; Hardwick, B; Kerdraon, D; Pentinsaari, M; Raharinjanahary, D; Rajoelison, ET; Ratnasingham, S; Somervuo, P; Sones, JE; Zakharov, EV; Hebert, PDN; Roslin, T; Dunson, D, Common to rare transfer learning (CORAL) enables inference and prediction for a quarter million rare Malagasy arthropods., Nature methods, vol. 22 no. 10 (October, 2025), pp. 2074-2082 [doi]  [abs]
  2. Lin, H; de Inza, PM; Moon, HS; Anderson, RJ; Dunson, DB; Johnson, KG; Kha-Truong, T; Badea, A, Graph neural networks and cortical column modeling for AI-based brain age prediction in Alzheimer’s disease risk, Proceedings of SPIE the International Society for Optical Engineering, vol. 13585 (September, 2025) [doi]  [abs]
  3. Dombowsky, A; Dunson, DB; Madut, DB; Rubach, MP; Herring, AH, BAYESIAN LEARNING OF CLINICALLY MEANINGFUL SEPSIS PHENOTYPES IN NORTHERN TANZANIA., Ann Appl Stat, vol. 19 no. 3 (September, 2025), pp. 2193-2217 [doi]  [abs]
  4. Chandra, NK; Dunson, DB; Xu, J, Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis., Journal of the American Statistical Association, vol. 120 no. 550 (June, 2025), pp. 1239-1253 [doi]  [abs]
  5. Melikechi, O; Dunson, DB; Miller, JW, Nonparametric IPSS: fast, flexible feature selection with false discovery control., Bioinformatics (Oxford, England), vol. 41 no. 5 (May, 2025), pp. btaf299 [doi]  [abs]
  6. Dewaskar, M; Tosh, C; Knoblauch, J; Dunson, DB, Robustifying Likelihoods by Optimistically Re-weighting Data., Journal of the American Statistical Association (April, 2025) [doi]  [abs]
  7. Dombowsky, A; Dunson, DB, Product Centred Dirichlet Processes for Bayesian Multiview Clustering., Journal of the Royal Statistical Society. Series B, Statistical methodology (April, 2025) [doi]  [abs]
  8. Lin, L; Saparbayeva, B; Zhang, MM; Dunson, DB, Accelerated algorithms for convex and non-convex optimization on manifolds, Machine Learning, vol. 114 no. 3 (March, 2025) [doi]  [abs]
  9. Palmer, G; Herring, AH; Dunson, DB, LOW-RANK LONGITUDINAL FACTOR REGRESSION WITH APPLICATION TO CHEMICAL MIXTURES., The annals of applied statistics, vol. 19 no. 1 (March, 2025), pp. 769-797 [doi]  [abs]
  10. Chattopadhyay, S; Engel, SM; Dunson, D, INFERRING SYNERGISTIC AND ANTAGONISTIC INTERACTIONS IN MIXTURES OF EXPOSURES, Annals of Applied Statistics, vol. 19 no. 1 (March, 2025), pp. 169-190 [doi]  [abs]
  11. Zhai, Q; Ye, Z; Li, C; Revie, M; Dunson, DB, Modeling Recurrent Failures on Large Directed Networks, Journal of the American Statistical Association, vol. 120 no. 549 (January, 2025), pp. 251-265 [doi]  [abs]
  12. Dombowsky, A; Dunson, DB, Bayesian Clustering via Fusing of Localized Densities., Journal of the American Statistical Association (January, 2025) [doi]  [abs]
  13. Tam, E; Dunson, DB; Duan, LL, Exact sampling of spanning trees via fast-forwarded random walks, Biometrika, vol. 112 no. 2 (January, 2025) [doi]  [abs]
  14. Agnoletto, D; Rigon, T; Dunson, DB, Bayesian inference for generalized linear models via quasi-posteriors., Biometrika, vol. 112 no. 2 (January, 2025), pp. asaf022 [doi]  [abs]
  15. Liu, M; Dunson, DB, Domain Adaptive Bootstrap Aggregating, IEEE Transactions on Signal Processing, vol. 73 (January, 2025), pp. 4170-4182 [doi]  [abs]
  16. Stolf, F; Dunson, DB, Infinite joint species distribution models, Biometrika, vol. 112 no. 4 (January, 2025) [doi]  [abs]
  17. Mauri, L; Dunson, DB, Factor pretraining in Bayesian multivariate logistic models, Biometrika, vol. 112 no. 4 (January, 2025) [doi]  [abs]

Elgindi, Tarek M

  1. Elgindi, TM; Pasqualotto, F, Invertibility of a Linearized Boussinesq Flow: A Symbolic Approach, Communications in Mathematical Physics, vol. 406 no. 11 (November, 2025) [doi]  [abs]
  2. ELGINDI, TM; MURRAY, RW; SAID, AR, On the long-time behavior of scale-invariant solutions to the 2d Euler equation and applications, Annales Scientifiques de l'École Normale Supérieure (September, 2025), Societe Mathematique de France [doi]
  3. Bianchini, R; Elgindi, TM, Finite-time singularity formation for scalar stretching equations, Nonlinearity, vol. 38 no. 7 (July, 2025) [doi]  [abs]
  4. Elgindi, TM; Liss, K; Mattingly, JC, OPTIMAL ENHANCED DISSIPATION AND MIXING FOR A TIME-PERIODIC, LIPSCHITZ VELOCITY FIELD ON T2, Duke Mathematical Journal, vol. 174 no. 7 (May, 2025), pp. 1209-1260 [doi]  [abs]
  5. Elgindi, TM; Huang, Y, Regular and Singular Steady States of the 2D Incompressible Euler Equations near the Bahouri–Chemin Patch, Archive for Rational Mechanics and Analysis, vol. 249 no. 1 (February, 2025) [doi]  [abs]
  6. Elgindi, TM; Shikh Khalil, KR, STRONG ILL-POSEDNESS IN L∞ FOR THE RIESZ TRANSFORM PROBLEM, Analysis and Pde, vol. 18 no. 3 (January, 2025), pp. 715-741 [doi]  [abs]

Fang, Di

  1. Fang, D; Liu, D; Sarkar, R, Time-Dependent Hamiltonian Simulation via Magnus Expansion: Algorithm and Superconvergence, Communications in Mathematical Physics, vol. 406 no. 6 (June, 2025) [doi]  [abs]
  2. Borns-Weil, Y; Fang, D, UNIFORM OBSERVABLE ERROR BOUNDS OF TROTTER FORMULAE FOR THE SEMICLASSICAL SCHRÖDINGER EQUATION, Multiscale Modeling and Simulation, vol. 23 no. 1 (January, 2025), pp. 255-277 [doi]  [abs]

Filipazzi, Stefano

  1. Figueroa, F; Filipazzi, S; Moraga, J; Peng, J, Complements and coregularity of Fano varieties, Forum of Mathematics Sigma, vol. 13 (February, 2025) [doi]  [abs]
  2. Filipazzi, S; Hacon, CD; Svaldi, R, Boundedness of elliptic Calabi–Yau threefolds, Journal of the European Mathematical Society, vol. 27 no. 9 (January, 2025), pp. 3583-3650, European Mathematical Society - EMS - Publishing House GmbH [doi]  [abs]
  3. Bernasconi, F; Filipazzi, S, Rational points on 3-folds with nef anti-canonical class over finite fields, Proceedings of the London Mathematical Society, vol. 130 no. 1 (January, 2025) [doi]  [abs]
  4. Filipazzi, S; Mauri, M; Moraga, J, Index of coregularity zero log Calabi–Yau pairs, Algebra and Number Theory, vol. 19 no. 2 (January, 2025), pp. 383-413 [doi]  [abs]

Getz, Jayce R.

  1. Choie, Y; Getz, JR, SCHUBERT EISENSTEIN SERIES AND POISSON SUMMATION FOR SCHUBERT VARIETIES, American Journal of Mathematics, vol. 147 no. 3 (June, 2025), pp. 597-653 [doi]  [abs]
  2. Getz, JR, Summation formulae for quadrics, Selecta Mathematica New Series, vol. 31 no. 2 (April, 2025) [doi]  [abs]

Goldberg, Amy

  1. Massey, DJ; Szpiech, ZA; Goldberg, A, Differentiating mechanism from outcome for ancestry-assortative mating in admixed human populations., Genetics, vol. 229 no. 4 (April, 2025), pp. iyaf022 [doi]  [abs]

Hain, Richard   (search)

  1. Hain, R, The Rank of the Normal Functions of the Ceresa and Gross-Schoen Cycles, Forum of Mathematics Sigma, vol. 13 (September, 2025), Cambridge University Press (CUP) [doi]  [abs]
  2. Hain, R, Mapping Class Groups of Simply Connected Kähler Manifolds, in Simons Symposia (2025), pp. 267-297, Springer Nature Switzerland, ISBN 9783031996825 [doi]

Haskins, Mark

  1. Haskins, M; Khan, I; Payne, A, Uniqueness of asymptotically conical gradient shrinking solitons in G2-Laplacian flow, Mathematische Annalen, vol. 391 no. 4 (April, 2025), pp. 5033-5116, Springer Science and Business Media LLC [doi]  [abs]

Herschlag, Gregory J.

  1. Chuang, G; Herschlag, G; Mattingly, J, MULTISCALE PARALLEL TEMPERING FOR FAST SAMPLING ON REDISTRICTING PLANS, Multiscale Modeling and Simulation, vol. 23 no. 4 (January, 2025), pp. 1515-1550, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]

Katsevich, Anya

  1. Katsevich, A, Improved dimension dependence in the Bernstein–von Mises theorem via a new Laplace approximation bound, Information and Inference: A Journal of the IMA, vol. 14 (2025), pp. iaaf020-iaaf020, Oxford University Press

Kiselev, Alexander A.

  1. Hu, Z; Kiselev, A; Yao, Y, Suppression of Chemotactic Singularity by Buoyancy, Geometric and Functional Analysis, vol. 35 no. 3 (June, 2025), pp. 812-841 [doi]  [abs]
  2. Kiselev, A; Sarsam, NA, Finite time blow-up in a 1D model of the incompressible porous media equation, Nonlinearity, vol. 38 no. 5 (May, 2025) [doi]  [abs]
  3. Kiselev, A; Luo, X, The α-SQG patch problem is illposed in C2,β and W2,p, Communications on Pure and Applied Mathematics, vol. 78 no. 4 (April, 2025), pp. 742-820 [doi]  [abs]
  4. Kiselev, A; Park, J; Yao, Y, SMALL SCALE FORMATION FOR THE 2-DIMENSIONAL BOUSSINESQ EQUATION, Analysis and Pde, vol. 18 no. 1 (January, 2025), pp. 171-198 [doi]  [abs]

Lafata, Kyle J.

  1. Mouheb, K; Nejad, MG; Dahal, L; Samei, E; Lafata, KJ; Segars, WP; Lo, JY, Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models, Lecture Notes in Computer Science, vol. 16171 LNCS (January, 2026), pp. 103-116 [doi]  [abs]
  2. Xia, S-J; Vancoillie, L; Sotoudeh-Paima, S; Zarei, M; Ho, FC; Tushar, FI; Chen, X; Dahal, L; Lafata, KJ; Abadi, E; Lo, JY; Samei, E, Evaluation of unified harmonization of CT images across multiple tasks: A step towards AI generalizability., Med Phys, vol. 52 no. 11 (November, 2025), pp. e70084 [doi]  [abs]
  3. Chisholm, M; Jabal, MS; He, H; Wang, Y; Kalisz, K; Lafata, KJ; Calabrese, E; Bashir, MR; Tailor, TD; Magudia, K, Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race., J Am Coll Radiol, vol. 22 no. 10 (October, 2025), pp. 1182-1192 [doi]  [abs]
  4. Stevens, JB; Je, J; Riley, BA; Mowery, YM; Brizel, DM; Liu, J-G; Wang, C; Lafata, KJ, Development and application of a novel tumor habitat analysis technique based on dynamical modeling., Med Phys, vol. 52 no. 9 (September, 2025), pp. e18032 [doi]  [abs]
  5. Fan, F; Liu, Q; Zee, J; Ozeki, T; Demeke, D; Yang, Y; Bitzer, M; O'Connor, CL; Farris, AB; Wang, B; Shah, M; Jacobs, J; Mariani, L; Lafata, KJ; Rubin, J; Chen, Y; Holzman, LB; Hodgin, JB; Madabhushi, A; Barisoni, L; Janowczyk, A, Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis., Kidney Int, vol. 108 no. 2 (August, 2025), pp. 293-309 [doi]  [abs]
  6. Wang, AJ; Tushar, FI; Harowicz, MR; Tong, BC; Lafata, KJ; Tailor, TD; Lo, JY, The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT., Radiol Artif Intell, vol. 7 no. 4 (July, 2025), pp. e240248 [doi]  [abs]
  7. Dahal, L; Ghojoghnejad, M; Vancoillie, L; Ghosh, D; Bhandari, Y; Kim, D; Ho, FC; Tushar, FI; Luo, S; Lafata, KJ; Abadi, E; Samei, E; Lo, JY; Segars, WP, XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans., Med Image Anal, vol. 103 (July, 2025), pp. 103636 [doi]  [abs]
  8. Tushar, FI; Vancoillie, L; McCabe, C; Kavuri, A; Dahal, L; Harrawood, B; Fryling, M; Zarei, M; Sotoudeh-Paima, S; Ho, FC; Ghosh, D; Harowicz, MR; Tailor, TD; Luo, S; Segars, WP; Abadi, E; Lafata, KJ; Lo, JY; Samei, E, Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection., ArXiv (April, 2025)  [abs]
  9. Zhao, J; Vaios, E; Yang, Z; Lu, K; Floyd, S; Yang, D; Ji, H; Reitman, ZJ; Lafata, KJ; Fecci, P; Kirkpatrick, JP; Wang, C, Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis., Med Phys, vol. 52 no. 4 (April, 2025), pp. 2661-2674 [doi]  [abs]
  10. Wang, Y; Gupta, A; Tushar, FI; Riley, B; Wang, A; Tailor, TD; Tantum, S; Liu, J-G; Bashir, MR; Lo, JY; Lafata, KJ, Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT., Artif Intell Med, vol. 160 (February, 2025), pp. 103055 [doi]  [abs]
  11. Xia, S-J; Vancoillie, L; Sotoudeh-Paima, S; Zarei, M; Ho, FC; Tushar, FI; Chen, X; Dahal, L; Lafata, KJ; Abadi, E; Lo, JY; Samei, E, The Role of Harmonization: A Systematic Analysis of Various Task-based Scenarios., Proc SPIE Int Soc Opt Eng, vol. 13405 (February, 2025) [doi]  [abs]
  12. Zhou, J; Luo, Y; Darcy, JW; Lafata, KJ; Ruiz, JR; Grego, S, Long-term, automated stool monitoring using a novel smart toilet: A feasibility study., Neurogastroenterol Motil, vol. 37 no. 1 (January, 2025), pp. e14954 [doi]  [abs]
  13. Wang, L; Yang, Z; LaBella, D; Reitman, Z; Ginn, J; Zhao, J; Adamson, J; Lafata, K; Calabrese, E; Kirkpatrick, J; Wang, C, Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation., Front Oncol, vol. 15 (2025), pp. 1474590 [doi]  [abs]

Liang, Ying

  1. Li, P; Li, Z; Liang, Y, Stability for inverse random source problems of the polyharmonic wave equation, Inverse Problems and Imaging, vol. 21 (2026), pp. 34-47, American Institute of Mathematical Sciences (AIMS) [doi]

Liss, Kyle L   (search)

  1. Elgindi, TM; Liss, K; Mattingly, JC, OPTIMAL ENHANCED DISSIPATION AND MIXING FOR A TIME-PERIODIC, LIPSCHITZ VELOCITY FIELD ON T2, Duke Mathematical Journal, vol. 174 no. 7 (May, 2025), pp. 1209-1260 [doi]  [abs]

Liu, Jian-Guo

  1. Qi, D; Liu, JG, Data assimilation models for computing probability distributions of complex multiscale systems, Journal of Computational Physics, vol. 545 (January, 2026) [doi]  [abs]
  2. Yu, J; Liu, J-G; Zhao, H, Equilibrium correction iteration for a class of mean-field game inverse problems, Inverse Problems, vol. 41 no. 12 (December, 2025), pp. 125009-125009, IOP Publishing [doi]  [abs]
  3. Qi, D; Liu, JG, Coupled stochastic-statistical equations for filtering multiscale turbulent systems, Physica D Nonlinear Phenomena, vol. 484 (December, 2025) [doi]  [abs]
  4. Liu, J-G; Wang, Y, On random batch methods (RBM) for interacting particle systems driven by Lévy processes, Stochastics and Dynamics, vol. 25 no. 07n08 (December, 2025), World Scientific Pub Co Pte Ltd [doi]  [abs]
  5. Feng, Y; He, Q; Liu, JG; Zhou, Z, Nonsymmetric traveling wave solution to a Hele-Shaw type tumor growth model, Journal of Differential Equations, vol. 440 (September, 2025) [doi]  [abs]
  6. Stevens, JB; Je, J; Riley, BA; Mowery, YM; Brizel, DM; Liu, J-G; Wang, C; Lafata, KJ, Development and application of a novel tumor habitat analysis technique based on dynamical modeling., Med Phys, vol. 52 no. 9 (September, 2025), pp. e18032 [doi]  [abs]
  7. Liu, JG; Witelski, T; Xu, X; Zhang, J, A Three-Dimensional Tumor Growth Model and Its Boundary Instability, Communications on Applied Mathematics and Computation, vol. 7 no. 3 (June, 2025), pp. 1034-1073 [doi]  [abs]
  8. Wang, Y; Gupta, A; Tushar, FI; Riley, B; Wang, A; Tailor, TD; Tantum, S; Liu, J-G; Bashir, MR; Lo, JY; Lafata, KJ, Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT., Artif Intell Med, vol. 160 (February, 2025), pp. 103055, Elsevier BV [doi]  [abs]
  9. Degond, P; Liu, JG, Binary Particle Collisions with Mass Exchange, Journal of Statistical Physics, vol. 192 no. 2 (February, 2025), Springer Science and Business Media LLC [doi]  [abs]
  10. Liu, JG; Pego, RL, RIGIDLY BREAKING POTENTIAL FLOWS AND A COUNTABLE ALEXANDROV THEOREM FOR POLYTOPES, Pure and Applied Analysis, vol. 7 no. 4 (January, 2025), pp. 927-956 [doi]  [abs]
  11. Liu, JG; Qi, D, Oscillatory solutions at the continuum limit of Lorenz 96 systems, Communications in Information and Systems, vol. 25 no. 3 (January, 2025), pp. 551-587 [doi]  [abs]

Lu, Jianfeng

  1. Zhu, G; Bierman, J; Lu, J; Li, Y, Quantum circuit for non-unitary linear transformation of basis sets, Npj Quantum Information, vol. 11 no. 1 (December, 2025) [doi]  [abs]
  2. Chen, Z; Lu, J; Lu, Y; Zhang, X, FULLY DISCRETIZED SOBOLEV GRADIENT FLOW FOR THE GROSS-PITAEVSKII EIGENVALUE PROBLEM, Mathematics of Computation, vol. 94 no. 356 (November, 2025), pp. 2723-2760 [doi]  [abs]
  3. He, Y; Balasubramanian, K; Sriperumbudur, BK; Lu, J, Regularized Stein Variational Gradient Flow, Foundations of Computational Mathematics, vol. 25 no. 4 (August, 2025), pp. 1199-1257 [doi]  [abs]
  4. Triplett, L; Lu, J, Diffusion methods for generating transition paths, Journal of Computational Physics, vol. 522 (February, 2025) [doi]  [abs]
  5. Liu, K; Lu, J, Error Bounds for Open Quantum Systems with Harmonic Bosonic Bath, Quantum, vol. 9 (January, 2025) [doi]  [abs]
  6. Cao, Y; Lu, J, Structure-Preserving Numerical Schemes for Lindblad Equations, Journal of Scientific Computing, vol. 102 no. 1 (January, 2025) [doi]  [abs]
  7. Lu, J; Yang, C; Zhou, Z, ASYMPTOTIC ANALYSIS FOR BLOCH ELECTRONS WITH WEYL NODES, Multiscale Modeling and Simulation, vol. 23 no. 2 (January, 2025), pp. 985-1035 [doi]  [abs]
  8. Zhou, M; Lu, J, A POLICY GRADIENT FRAMEWORK FOR STOCHASTIC OPTIMAL CONTROL PROBLEMS WITH GLOBAL CONVERGENCE GUARANTEE, SIAM Journal on Control and Optimization, vol. 63 no. 4 (January, 2025), pp. 2605-2631 [doi]  [abs]
  9. Tan, L; Lu, J, Accelerate Langevin Sampling with Birth-Death Process and Exploration Component, SIAM Asa Journal on Uncertainty Quantification, vol. 13 no. 3 (January, 2025), pp. 1265-1293, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  10. Purohit, V; Repasky, M; Lu, J; Qiu, Q; Xie, Y; Cheng, X, Consistency Posterior Sampling for Diverse Image Synthesis, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (January, 2025), pp. 28327-28336 [doi]  [abs]
  11. Chen, H; Li, B; Lu, J; Ying, L, A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation, Quantum, vol. 9 (January, 2025) [doi]  [abs]
  12. Rohatgi, D; Marwah, T; Lipton, ZC; Lu, J; Moitra, A; Risteski, A, Towards characterizing the value of edge embeddings in Graph Neural Networks, Proceedings of Machine Learning Research, vol. 267 (January, 2025), pp. 51905-51923  [abs]

Maggioni, Mauro

  1. E Causevic and R~R Coifman and R Isenhart and A Jacquin and E~R John and M Maggioni and L~S Prichep and F~J Warner, QEEG-based classification with wavelet packets and microstate features for triage applications in the ER (2005)
  2. GL Davis and Mauro Maggioni and FJ Warner and FB Geshwind and AC Coppi and RA DeVerse and RR Coifman, Hyper-spectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system (2004) (Poster, Optical Imaging NIH workshop, to app. in proc..)
  3. Ronald R Coifman and Mauro Maggioni, Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms no. YALE/DCS/TR-1289 (2004)

Mattingly, Jonathan C.   (search)

  1. Elgindi, TM; Liss, K; Mattingly, JC, OPTIMAL ENHANCED DISSIPATION AND MIXING FOR A TIME-PERIODIC, LIPSCHITZ VELOCITY FIELD ON T2, Duke Mathematical Journal, vol. 174 no. 7 (May, 2025), pp. 1209-1260 [doi]  [abs]
  2. Herzog, DP; Mattingly, JC, PHASE SPACE CONTRACTION OF DEGENERATELY DAMPED RANDOM SPLITTINGS, Probability and Mathematical Physics, vol. 6 no. 3 (January, 2025), pp. 733-775 [doi]  [abs]
  3. Chuang, G; Herschlag, G; Mattingly, J, MULTISCALE PARALLEL TEMPERING FOR FAST SAMPLING ON REDISTRICTING PLANS, Multiscale Modeling and Simulation, vol. 23 no. 4 (January, 2025), pp. 1515-1550, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]

McPhail-Snyder, Calvin

  1. McPhail-Snyder, C, Octahedral coordinates from the Wirtinger presentation, Geometriae Dedicata, vol. 219 no. 4 (August, 2025) [doi]  [abs]

Miller, Ezra

  1. Miller, E, Essential graded algebra over polynomial rings with real exponents, Advances in Mathematics, vol. 485 (February, 2026) [doi]  [abs]
  2. Li, Y; Miller, E; Ordog, E, Minimal resolutions of lattice ideals, Journal of Pure and Applied Algebra, vol. 229 no. 3 (March, 2025) [doi]  [abs]
  3. Braun, B; Gomes, T; Miller, E; O’Neill, C; Sobieska, A, MINIMAL FREE RESOLUTIONS OF NUMERICAL SEMIGROUP ALGEBRAS VIA APÉRY SPECIALIZATION, Pacific Journal of Mathematics, vol. 334 no. 2 (January, 2025), pp. 211-231 [doi]  [abs]
  4. Miller, E, Homological Algebra of Modules over Posets, SIAM Journal on Applied Algebra and Geometry, vol. 9 no. 3 (January, 2025), pp. 483-524 [doi]  [abs]

Mukherjee, Sayan

  1. Mukherjee, S; Roy, S, Regularized Bayesian best response learning in finite games, Games and Economic Behavior, vol. 149 (January, 2025), pp. 1-31 [doi]  [abs]
  2. Majumdar, A; Mukherjee, S; Raskin, JF, Greybox Learning of Languages Recognizable by Event-Recording Automata, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15054 LNCS (January, 2025), pp. 235-256 [doi]  [abs]

Ng, Lenhard L.

  1. Ng, L, An L∞ structure for Legendrian contact homology, Journal of Topology, vol. 18 no. 3 (September, 2025), Wiley [doi]  [abs]
  2. Lipshitz, R; Ng, L, Torsion in linearized contact homology for Legendrian knots, Michigan Mathematical Journal (August, 2025), Department of Mathematics [doi]  [abs]

Pierce, Lillian B.

  1. Bonolis, D; Pierce, LB; Woo, K, Counting integral points in thin sets of type II: singularities, sieves, and stratification (May, 2025)
  2. Pierce, LB; Turnage-Butterbaugh, CL; Zaman, A, A guide to Tauberian theorems for arithmetic applications (April, 2025)

Randles, Amanda

  1. Saxena, Y; Riley, L; Wu, R; Kabir, MS; Randles, A; Segura, T, 3D pore shape is predictable in randomly packed particle systems., Matter (October, 2025), pp. 102493 [doi]  [abs]
  2. Mac Grory, B; Randles, A; Urick, DM; Schwartz, FR; Hasan, D; Calabrese, ED, Photon-Counting Computed Tomography for Evaluation of Coiled Intracranial Aneurysms., AJNR Am J Neuroradiol (September, 2025), pp. ajnr.A9015 [doi]  [abs]
  3. Ghorbannia, A; Tanade, C; Yousef, A; Khan, NS; Vardhan, M; Chi, JT; Roychowdhury, S; Das, A; Leopold, JA; Chi, EC; Randles, A, Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions, International Journal of High Performance Computing Applications, vol. 39 no. 5 (September, 2025), pp. 678-691, SAGE Publications [doi]  [abs]
  4. Khan, NS; Tanade, C; Geddes, J; Randles, A, Establishing hemodynamic convergence framework for coronary digital twins under realistic dynamic heart rates, Physics of Fluids, vol. 37 no. 9 (September, 2025), AIP Publishing [doi]  [abs]
  5. Geddes, JR; Jensen, CW; Tanade, C; Ghorbannia, A; Fudim, M; Patel, MR; Randles, A, Digital twins for noninvasively measuring predictive markers of right heart failure., NPJ Digit Med, vol. 8 no. 1 (August, 2025), pp. 545 [doi]  [abs]
  6. Martin, A; Yousef, A; Liu, G; Ladd, W; Georgiadou, A; Stoop, J; Randles, A, Performance Portability Evaluation of Fluid-Structure Interaction Simulations on Heterogeneous Platforms, https://ieeexplore.ieee.org/xpl/conhome/11008903/proceeding (May, 2025), pp. 1-11, IEEE, ISBN 978-3-9826336-1-9
  7. Aran, K; Li, J; Randles, A; Wan, Y, Meet the winners of the 2024 Sony Women in Technology Award, Nature Reviews Electrical Engineering, vol. 2 no. 5 (May, 2025), pp. 297-301, Springer Science and Business Media LLC [doi]
  8. Martin, A; Nezdyur, M; Tanade, C; Randles, A, Establishing a massively parallel computational model of the adaptive immune response, Journal of Computational Science, vol. 87 (May, 2025), pp. 102555-102555, Elsevier BV [doi]  [abs]
  9. Tanade, C; Randles, A, Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework, Journal of Computational Science, vol. 87 (May, 2025), pp. 102570-102570, Elsevier BV [doi]  [abs]
  10. Geddes, JR; King, TD; Tanade, C; Ladd, W; Khan, NS; Randles, A, Impact of inlet velocity waveform shape on hemodynamics, Journal of Computational Science, vol. 87 (May, 2025) [doi]  [abs]
  11. Deelman, E; Dongarra, J; Hendrickson, B; Randles, A; Reed, D; Seidel, E; Yelick, K, High-performance computing at a crossroads., Science (New York, N.Y.), vol. 387 no. 6736 (February, 2025), pp. 829-831 [doi]  [abs]
  12. Jensen, C; Ghorbannia, A; Urick, D; Hughes, GC; Randles, A, A systematic quantification of hemodynamic differences persisting after aortic coarctation repair., Front Bioeng Biotechnol, vol. 13 (2025), pp. 1539256, Frontiers Media S.A. [doi]  [abs]

Raquépas, Renaud

  1. Barnfield, N; Grondin, R; Pozzoli, G; Raquépas, R, On the Ziv–Merhav theorem beyond Markovianity I, Canadian Journal of Mathematics, vol. 77 no. 3 (June, 2025), pp. 891-915 [doi]  [abs]
  2. Raquépas, R; Schenker, J, Quenched Large Deviations of Birkhoff Sums Along Random Quantum Measurements, Annales Henri Poincare (January, 2025) [doi]  [abs]

Reed, Michael C.

  1. Suzuki, M; Kim, HY; Reed, MC; Nijhout, HF; Cruikshank, A; Abdelmalek, M; Diehl, AM; Yen, PM; Singh, BK; Tripathi, M; Suzuki, A, Elevated Homocysteine is Associated With Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease in a Sex- and Menopause-Specific Manner., Gastro Hep Adv, vol. 5 no. 1 (2026), pp. 100800 [doi]  [abs]
  2. Reed, MC; Suzuki, A; Cruikshank, A; Suzuki, M; Nijhout, HF, Differential effects of synthetic estrogen on serum homocysteine levels before and after menopause., PLoS One, vol. 20 no. 12 (2025), pp. e0338505 [doi]  [abs]

Rossman, Benjamin

  1. Rossman, B, Equi-Rank Homomorphism Preservation Theorem on Finite Structures, Leibniz International Proceedings in Informatics Lipics, vol. 326 (February, 2025) [doi]  [abs]
  2. Rossman, B, Riffle Rank, Procedia Computer Science, vol. 273 (January, 2025), pp. 215-222 [doi]  [abs]

Rudin, Cynthia D.

  1. Karimi Mahabadi, R; Lee, D; Ogren, AC; Daraio, C; Chen, W; Rudin, C; Brinson, LC, A Computational Framework to design 3D stiffness gradient acoustic metamaterials for impedance matching, Computer Methods in Applied Mechanics and Engineering, vol. 449 (February, 2026) [doi]  [abs]
  2. Tang, D; Donnelly, J; Barnett, AJ; Semenova, L; Jing, J; Hadar, P; Karakis, I; Selioutski, O; Zhao, K; Westover, MB; Rudin, C, This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN, Lecture Notes in Computer Science, vol. 15973 LNCS (January, 2026), pp. 615-625 [doi]  [abs]
  3. Roumeli, E; Azidhak, S; Costa, AF; Chen, A; Saito, I; Sun, Y; Cate Brinson, L; Rudin, C; Schadler, LS; Sprenger, K, From biomatter to bioplastics: A perspective on modeling, structure, and data-driven design, MRS Bulletin, vol. 50 no. 11 (November, 2025), pp. 1376-1390 [doi]  [abs]
  4. Karimi Mahabadi, R; Chen, Z; Ogren, AC; Zhang, H; Daraio, C; Rudin, C; Brinson, LC, Graph-based design of irregular metamaterials, International Journal of Mechanical Sciences, vol. 295 (June, 2025) [doi]  [abs]
  5. Bastawrous, MV; Chen, Z; Ogren, AC; Daraio, C; Rudin, C; Brinson, LC, A multiscale design method using interpretable machine learning for phononic materials with closely interacting scales, Computer Methods in Applied Mechanics and Engineering, vol. 440 (May, 2025) [doi]  [abs]
  6. Sharma, V; Barnett, AJ; Yang, J; Cheon, S; Kim, G; Regina Schwartz, F; Wang, A; Hall, N; Grimm, L; Chen, C; Lo, JY; Rudin, C, Improving annotation efficiency for fully labeling a breast mass segmentation dataset., J Med Imaging (Bellingham), vol. 12 no. 3 (May, 2025), pp. 035501 [doi]  [abs]
  7. Wang, Y; Sun, Y; Huang, H; Rudin, C, Dimension Reduction with Locally Adjusted Graphs, Proceedings of the Aaai Conference on Artificial Intelligence, vol. 39 no. 20 (April, 2025), pp. 21357-21365 [doi]  [abs]
  8. Maitra, I; Lin, R; Chen, E; Donnelly, J; Šćepanović, S; Rudin, C, How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data, Proceedings of the Aaai Conference on Artificial Intelligence, vol. 39 no. 27 (April, 2025), pp. 28240-28248 [doi]  [abs]
  9. Bier, V; Borgonovo, E; Cox, T; Rudin, C, Artificial intelligence for risk analysis and the risks of artificial intelligence: Part 1., Risk analysis : an official publication of the Society for Risk Analysis, vol. 45 no. 4 (April, 2025), pp. 735-737 [doi]
  10. Zhu, CQ; Tian, M; Semenova, L; Liu, J; Xu, J; Scarpa, J; Rudin, C, Fast and interpretable mortality risk scores for critical care patients., Journal of the American Medical Informatics Association : JAMIA, vol. 32 no. 4 (April, 2025), pp. 736-747 [doi]  [abs]
  11. Gupta, NR; Wang, T; Howell, TJ; Roy, S; Orlandi, V; Morucci, M; Sun, X; Rudin, C; Chang, CR; Dey, P; Ghosal, A; Volfovsky, A, dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference, Journal of Statistical Software, vol. 113 (January, 2025) [doi]  [abs]
  12. Babbar, V; Guo, Z; Rudin, C, “What is Different Between These Datasets?” A Framework for Explaining Data Distribution Shifts, Journal of Machine Learning Research, vol. 26 (January, 2025)  [abs]
  13. Zhong, C; Chen, P; Rudin, C, Models That Are Interpretable But Not Transparent, Proceedings of Machine Learning Research, vol. 258 (January, 2025), pp. 1648-1656  [abs]
  14. McTavish, H; Boner, Z; Donnelly, J; Seltzer, M; Rudin, C, Leveraging Predictive Equivalence in Decision Trees, Proceedings of Machine Learning Research, vol. 267 (January, 2025), pp. 43440-43475  [abs]
  15. Babbar, V; McTavish, H; Rudin, C; Seltzer, M, Near-Optimal Decision Trees in a SPLIT Second, Proceedings of Machine Learning Research, vol. 267 (January, 2025), pp. 2114-2175  [abs]
  16. Moffett, L; Barnett, AJ; Donnelly, J; Schwartz, FR; Trivedi, H; Lo, J; Rudin, C, Multi-site validation of an interpretable model to analyze breast masses., PLoS One, vol. 20 no. 6 (2025), pp. e0320091 [doi]  [abs]

Ryser, Marc D.

  1. Monyak, DL; Holloway, ST; Gumbert, GJ; Grimm, LJ; Hwang, ES; Marks, JR; Shibata, D; Ryser, MD, Mapping the temporal landscape of breast cancer using epigenetic entropy., Commun Biol, vol. 8 no. 1 (October, 2025), pp. 1477 [doi]  [abs]

Santillan, Sophia

  1. Robertson, D; Stumpf, M; Interiano-Shiverdecker, CG; Santillan, S, Experiences in a study abroad utilizing deliberate psychological education, Counselor Education and Supervision, vol. 64 no. 1 (March, 2025), pp. 16-29 [doi]  [abs]

Sapiro, Guillermo

  1. Miller, AC; Futoma, J; Abbaspourazad, S; Heinze-Deml, C; Emrani, S; Shapiro, I; Sapiro, G, A wearable-based aging clock associates with disease and behavior., Nature communications, vol. 16 no. 1 (October, 2025), pp. 9264 [doi]  [abs]
  2. Isaev, DY; Major, S; Carpenter, KLH; Grapel, J; Chang, Z; Di Martino, M; Carlson, D; Dawson, G; Sapiro, G, Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli., Sci Rep, vol. 15 no. 1 (August, 2025), pp. 30963 [doi]  [abs]
  3. Erwin, S; Ahmed, T; Cloughesy, J; Citron, K; Joo, F; Monahan, E; Kim, YK; Straka, B; Bennett, G; Strauman, T; Gaither, S; Sapiro, G; Zucker, N, Peer support: Current status and future opportunities for college mental health promotion., J Am Coll Health (July, 2025), pp. 1-11 [doi]  [abs]
  4. Aikat, V; Carpenter, KLH; Babu, PRK; Di Martino, JM; Espinosa, S; Compton, S; Davis, N; Franz, L; Spanos, M; Sapiro, G; Dawson, G, Autism Digital Phenotyping in Preschool- and School-Age Children., Autism Res, vol. 18 no. 6 (June, 2025), pp. 1217-1233 [doi]  [abs]
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  6. Huang, L; Qiu, Q; Sapiro, G, SSOLE: RETHINKING ORTHOGONAL LOW-RANK EMBEDDING FOR SELF-SUPERVISED LEARNING, 13th International Conference on Learning Representations Iclr 2025 (January, 2025), pp. 100712-100734  [abs]
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Scovazzi, Guglielmo

  1. Atallah, NM; Canuto, C; Scovazzi, G, Analysis of the weighted shifted boundary method for the Poisson and Stokes problems, Computers and Mathematics with Applications, vol. 205 (March, 2026), pp. 63-85 [doi]  [abs]
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Shi, Ruilin

  1. Shi, R; Wei, F, Extremal number of cliques of given orders in graphs with a forbidden clique minor, Journal of the London Mathematical Society, vol. 112 no. 6 (December, 2025) [doi]  [abs]
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Stern, Mark A.

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Tong, Yu

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Viel, Shira

  1. Black, K; Akin, V; Viel, S; Scanlon, H; Tremaine, R; Kress, N, Unnecessarily Hard: How Student Emotions, Course Components and Rigor Collide in Calculus, http://sigmaa.maa.org/rume/RUME27_Proceedings.pdf (March, 2025)  [abs]
  2. Viel, S; Tackett, M; Das, S; Choo, J, A Mixed-Methods Study of Classroom Community Among Undergraduate Students in Introductory Mathematics and Statistics, International Journal of Learner Diversity and Identities, vol. 32 no. 2 (January, 2025), pp. 57-81, Common Ground Research Networks [doi]  [abs]

Wei, Fan

  1. Shi, R; Wei, F, Extremal number of cliques of given orders in graphs with a forbidden clique minor, Journal of the London Mathematical Society, vol. 112 no. 6 (December, 2025) [doi]  [abs]
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Wickelgren, Kirsten G.

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Witelski, Thomas P.   (search)

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Xie, Jichun

  1. Qu, Y; Ji, B; Dong, R; Gu, L; Chan, C; Xie, J; Glass, C; Wang, X-F; Nixon, AB; Ji, Z, Single-cell and spatial detection of senescent cells using DeepScence., Cell Genom, vol. 5 no. 12 (December, 2025), pp. 101035 [doi]  [abs]
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Yu, Jiajia

  1. Yu, J; Liu, J-G; Zhao, H, Equilibrium correction iteration for a class of mean-field game inverse problems, Inverse Problems, vol. 41 no. 12 (December, 2025), pp. 125009-125009, IOP Publishing [doi]  [abs]

Zhou, Ling

  1. Mémoli, F; Zhou, L, Persistent homotopy groups of metric spaces, Journal of Topology and Analysis, vol. 17 no. 5 (October, 2025), pp. 1481-1542 [doi]  [abs]

Zhu, Hanye

  1. Dong, H; Yang, Z; Zhu, H, Gradient estimates for the conductivity problem with imperfect bonding interfaces, Journal Fur Die Reine Und Angewandte Mathematik, vol. 2026 no. 830 (January, 2026), pp. 101-139 [doi]  [abs]

Zhu, Shuchen

  1. Gustafson, EJ; Lamm, H; Liu, D; Murairi, EM; Zhu, S, Synthesis of single-qutrit circuits from Clifford ?? + R gates, Physical Review A, vol. 112 no. 6 (December, 2025), American Physical Society (APS) [doi]
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