Mathematics Faculty: Publications since January 2022
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 Agarwal, PK; Katz, MJ; Sharir, M, On reverse shortest paths in geometric proximity graphs,
Computational Geometry, vol. 117
(February, 2024) [doi] [abs]
 Agarwal, PK; Geft, T; Halperin, D; Taylor, E, Multirobot motion planning for unit discs with revolving areas,
Computational Geometry, vol. 114
(October, 2023) [doi] [abs]
 Agarwal, PK; Katz, MJ; Sharir, M, On Reverse Shortest Paths in Geometric Proximity Graphs,
Leibniz International Proceedings in Informatics, Lipics, vol. 248
(December, 2022), ISBN 9783959772587 [doi] [abs]
 Agarwal, PK; Geft, T; Halperin, D; Taylor, E, MultiRobot Motion Planning for Unit Discs with Revolving Areas,
Leibniz International Proceedings in Informatics, Lipics, vol. 248
(December, 2022), ISBN 9783959772587 [doi] [abs]
 Agarwal, PK; Cohen, R; Halperin, D; Mulzer, W, Maintaining the Union of Unit Discs under Insertions with NearOptimal Overhead,
Acm Transactions on Algorithms, vol. 18 no. 3
(October, 2022) [doi] [abs]
 Agarwal, PK; Chang, HC; Raghvendra, S; Xiao, A, Deterministic, nearlinearapproximation algorithm for geometric bipartite matching,
Proceedings of the Annual Acm Symposium on Theory of Computing
(September, 2022),
pp. 10521065, ISBN 9781450392648 [doi] [abs]
 Agarwal, PK; Ko, SH; Munagala, K; Taylor, E, Locally Fair Partitioning,
Proceedings of the 36th Aaai Conference on Artificial Intelligence, Aaai 2022, vol. 36
(June, 2022),
pp. 47524759, ISBN 1577358767 [abs]
 Hu, X; Liu, Y; Xiu, H; Agarwal, PK; Panigrahi, D; Roy, S; Yang, J, Selectivity Functions of Range Queries are Learnable,
Proceedings of the Acm Sigmod International Conference on Management of Data
(June, 2022),
pp. 959972, ISBN 9781450392495 [doi] [abs]
 Hu, X; Sintos, S; Gao, J; Agarwal, PK; Yang, J, Computing Complex Temporal Join Queries Efficiently,
Proceedings of the Acm Sigmod International Conference on Management of Data
(June, 2022),
pp. 20762090, ISBN 9781450392495 [doi] [abs]
 Agarwal, PK; Aronov, B; Ezra, E; Katz, MJ; Sharir, M, Intersection Queries for Flat SemiAlgebraic Objects in Three Dimensions and Related Problems,
Leibniz International Proceedings in Informatics, Lipics, vol. 224
(June, 2022), ISBN 9783959772273 [doi] [abs]
 Agarwal, PK; Raghvendra, S; Shirzadian, P; Sowle, R, An Improved ϵApproximation Algorithm for Geometric Bipartite Matching,
Leibniz International Proceedings in Informatics, Lipics, vol. 227
(June, 2022), ISBN 9783959772365 [doi] [abs]
Aquino, Wilkins
 Chen, MJ; Sivakumar, K; Banyay, GA; Golchert, BM; Walsh, TF; Zavlanos, MM; Aquino, W, Bayesian Optimal Sensor Placement for Damage Detection in FrequencyDomain Dynamics,
Journal of Engineering Mechanics, vol. 148 no. 12
(December, 2022) [doi] [abs]
 Zou, Z; Kouri, DP; Aquino, W, A Locally Adapted ReducedBasis Method for Solving RiskAverse PDEConstrained Optimization Problems,
Siam/Asa Journal on Uncertainty Quantification, vol. 10 no. 4
(December, 2022),
pp. 16291651 [doi] [abs]
 Treweek, BC; Sanders, CM; Aquino, W; Walsh, TF, Optimization of Acoustic Channels to Minimize Scattered Pressure Fields,
Journal of Theoretical and Computational Acoustics, vol. 30 no. 3
(September, 2022) [doi] [abs]
 Capriotti, M; Roy, T; Hugenberg, NR; Harrigan, H; Lee, HC; Aquino, W; Guddati, M; Greenleaf, JF; Urban, MW, The influence of acoustic radiation force beam shape and location on wave spectral content for arterial dispersion ultrasound vibrometry.,
Physics in Medicine and Biology, vol. 67 no. 13
(June, 2022) [doi] [abs]
 Hobbs, KT; Choe, N; Aksenov, LI; Reyes, L; Aquino, W; Routh, JC; Hokanson, JA, Machine Learning for Urodynamic Detection of Detrusor Overactivity.,
Urology, vol. 159
(January, 2022),
pp. 247254 [doi] [abs]
Arapura, Donu V.
 Arapura, D; Matsuki, K; Patel, D; Włodarczyk, J, A Kawamata–Viehweg type formulation of the logarithmic Akizuki–Nakano vanishing theorem,
Mathematische Zeitschrift, vol. 303 no. 4
(April, 2023) [doi] [abs]
 Arapura, D, HODGE CYCLES AND THE LERAY FILTRATION,
Pacific Journal of Mathematics, vol. 319 no. 2
(January, 2022),
pp. 233258 [doi] [abs]
 Arapura, D, Motivic sheaves revisited,
Journal of Pure and Applied Algebra
(January, 2022) [doi] [abs]
ArcilaMaya, Niny J.
 ArcilaMaya, N; Bethea, C; Opie, M; Wickelgren, K; Zakharevich, I, Compactly supported A^{1}Euler characteristic and the Hochschild complex,
Topology and Its Applications, vol. 316
(July, 2022) [doi] [abs]
Bendich, Paul L
 Koplik, G; Borggren, N; Voisin, S; Angeloro, G; Hineman, J; Johnson, T; Bendich, P, Topological Simplification of Signals for Inference and Approximate Reconstruction,
Ieee Aerospace Conference Proceedings, vol. 2023March
(January, 2023), ISBN 9781665490320 [doi] [abs]
 Voisin, S; Hineman, J; Polly, JB; Koplik, G; Ball, K; Bendich, P; D‘Addezio, J; Jacobs, GA; Özgökmen, T, Topological Feature Tracking for Submesoscale Eddies,
Geophysical Research Letters, vol. 49 no. 20
(October, 2022) [doi] [abs]
 Solomon, E; Wagner, A; Bendich, P, From Geometry to Topology: Inverse Theorems for Distributed Persistence,
Leibniz International Proceedings in Informatics, Lipics, vol. 224
(June, 2022), ISBN 9783959772273 [doi] [abs]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bezemek, Zachary W
 Bezemek, ZW; Spiliopoulos, K, Moderate deviations for fully coupled multiscale weakly interacting particle systems,
Stochastics and Partial Differential Equations: Analysis and Computations
(July, 2023), Springer Science and Business Media LLC [doi]
 Bezemek, ZW; Spiliopoulos, K, Rate of homogenization for fullycoupled McKean–Vlasov SDEs,
Stochastics and Dynamics, vol. 23 no. 02
(March, 2023), World Scientific Pub Co Pte Ltd [doi] [abs]
 Bezemek, ZW; Spiliopoulos, K, Large deviations for interacting multiscale particle systems,
Stochastic Processes and Their Applications, vol. 155
(January, 2023),
pp. 27108, Elsevier BV [doi]
 Bezemek, Z; Heldman, M, Importance Sampling for the Empirical Measure of Weakly Interacting Diffusions
(October, 2022)
Bray, Hubert
 Bray, H; Hirsch, S; Kazaras, D; Khuri, M; Zhang, Y, Spacetime Harmonic Functions and Applications to Mass, edited by Gromov, ML; Lawson, HB,
Perspectives in Scalar Curvature
(February, 2023), World Scientific [abs]
Bryant, Robert
(search)
 Bryant, R, On the Convex Pfaff–Darboux Theorem of Ekeland and Nirenberg,
Symmetry, Integrability and Geometry: Methods and Applications, vol. 19
(August, 2023), National Academy of Science of Ukraine
 Bryant, R; Cheeger, J; Griffiths, P; Blum, L; Burns, D; Connes, A; Donnelly, H; Ebin, D; Guillemin, V; Palais, R; Rossi, H; Simons, J; Singer, E; Singer, N; Stanton, N; Sternberg, S, Isadore M. Singer (1924–2021) In Memoriam Part 2: Personal Recollections,
Notices of the American Mathematical Society, vol. 69 no. 10
(November, 2022),
pp. 11, American Mathematical Society (AMS) [doi]
 Bryant, R; Bismut, JM; Cheeger, J; Griffiths, P; Donaldson, S; Hitchin, N; Lawson, HB; Gromov, M; Marcus, A; Spielman, D; Srivastava, N; Witten, E, Isadore M. Singer (1924–2021) In Memoriam Part 1: Scientific Works,
Notices of the American Mathematical Society, vol. 69 no. 09
(October, 2022),
pp. 11, American Mathematical Society (AMS) [doi]
 Phong, DH; Siu, YT; Bryant, R; Chau, A; Falbel, E; Fefferman, C; Friedman, R; Morgan, J; Futaki, A; Griffiths, P; Kohn, JJ; Mok, N; Mori, S; Namba, M; Noguchi, J; Ohsawa, T; Sato, M; Yau, ST, Masatake Kuranishi (1924–2021),
Notices of the American Mathematical Society, vol. 69 no. 05
(May, 2022),
pp. 11, American Mathematical Society (AMS) [doi]
Chariker, Christopher L.
 Chariker, L; Shapley, R; Hawken, M; Young, LS, A Computational Model of Direction Selectivity in Macaque V1 Cortex Based on Dynamic Differences between On and Off Pathways.,
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 42 no. 16
(April, 2022),
pp. 33653380 [doi] [abs]
 Chariker, L; Lebowitz, JL, Time evolution of a meanfield generalized contact process,
Journal of Statistical Mechanics: Theory and Experiment, vol. 2022 no. 2
(February, 2022),
pp. 023502023502, IOP Publishing [doi] [abs]
Cheng, Xiuyuan
 Cheng, X; Wu, N, Eigenconvergence of Gaussian kernelized graph Laplacian by manifold heat interpolation,
Applied and Computational Harmonic Analysis, vol. 61
(November, 2022),
pp. 132190 [doi] [abs]
 Tan, Y; Zhang, Y; Cheng, X; Zhou, XH, Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions.,
Scientific Reports, vol. 12 no. 1
(October, 2022),
pp. 16630 [doi] [abs]
 Cheng, X; Cloninger, A, Classification Logit TwoSample Testing by Neural Networks for Differentiating Near Manifold Densities,
Ieee Transactions on Information Theory, vol. 68 no. 10
(October, 2022),
pp. 66316662 [doi] [abs]
 Cheng, X; Wu, HT, Convergence of graph Laplacian with kNN selftuned kernels,
Information and Inference, vol. 11 no. 3
(September, 2022),
pp. 889957, Oxford University Press (OUP) [doi] [abs]
 Zhu, W; Qiu, Q; Calderbank, R; Sapiro, G; Cheng, X, ScalingTranslationEquivariant Networks with Decomposed Convolutional Filters,
Journal of Machine Learning Research, vol. 23
(January, 2022) [abs]
 Zhu, S; Wang, H; Dong, Z; Cheng, X; Xie, Y, NEURAL SPECTRAL MARKED POINT PROCESSES,
Iclr 2022 10th International Conference on Learning Representations
(January, 2022) [abs]
Ciocanel, MariaVeronica
 Ciocanel, MV; Ding, L; Mastromatteo, L; Reichheld, S; Cabral, S; Mowry, K; Sandstede, B, Parameter identifiability in PDE models of fluorescence recovery after
photobleaching
(July, 2023)
 Ciocanel, MV, Applications of PDEs and Stochastic Modeling to Protein Transport in
Cell Biology,
Notices of the American Mathematical Society
(December, 2022), American Mathematical Society [doi] [abs]
 Ciocanel, MV; Nardini, J, Online and InPerson Interviewing for TenureTrack Positions,
Notices of the American Mathematical Society
(August, 2022) [doi] [abs]
 Benson, J; Bessonov, M; Burke, K; Cassani, S; Ciocanel, MV; Cooney, DB; Volkening, A, How do classroomturnover times depend on lecturehall size?
(June, 2022)
 Ciocanel, MV; Chandrasekaran, A; Mager, C; Ni, Q; Papoian, GA; Dawes, A, Simulated actin reorganization mediated by motor proteins.,
Plos Computational Biology, vol. 18 no. 4
(April, 2022),
pp. e1010026 [doi] [abs]
 Dawson, M; Dudley, C; Omoma, S; Tung, HR; Ciocanel, MV, Characterizing emerging features in cell dynamics using topological data analysis methods,
Mathematical Biosciences and Engineering, vol. 20 no. 2
(2022),
pp. 30233046, American Institute of Mathematical Sciences (AIMS) [doi] [abs]
Cook, Nicholas A
(search)
 Cook, NA; Nguyen, HH; Yakir, O; Zeitouni, O, Universality of Poisson Limits for Moduli of Roots of Kac Polynomials,
International Mathematics Research Notices, vol. 2023 no. 8
(April, 2023),
pp. 66486690, Oxford University Press (OUP) [doi] [abs]
 Cook, N; Hachem, W; Najim, J; Renfrew, D, NonHermitian Random Matrices with a Variance Profile (II): Properties and Examples,
Journal of Theoretical Probability, vol. 35 no. 4
(December, 2022),
pp. 23432382 [doi] [abs]
 Cook, NA; Guionnet, A; Husson, J, Spectrum and pseudospectrum for quadratic polynomials in Ginibre matrices,
Annales De L'Institut Henri Poincaré, Probabilités Et Statistiques, vol. 58 no. 4
(November, 2022),
pp. 22842320 [doi] [abs]
Dasgupta, Samit
 Dasgupta, S; Kakde, M, On the BrumerStark conjecture,
Annals of Mathematics, vol. 197 no. 1
(January, 2023),
pp. 289388, Annals of Mathematics [doi] [abs]
Daubechies, Ingrid
 Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernelbased optimization scheme for analyzing nonstationary 1D signals,
Applied and Computational Harmonic Analysis, vol. 66
(September, 2023),
pp. 117 [doi] [abs]
 Balmaceda, JM; Clemens, CH; Daubechies, I; Pineda, AR; Rusu, G; Waldschmidt, M, Graduate Assistantships in Developing Countries (GRAID) Supporting Mathematics Graduate Students in the Countries that Need it Most,
Notices of the American Mathematical Society, vol. 70 no. 8
(September, 2023),
pp. 12811284 [doi]
 Daubechies, I; Devore, R; Dym, N; FaigenbaumGolovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions,
Ieee Transactions on Information Theory, vol. 69 no. 1
(January, 2023),
pp. 482495 [doi] [abs]
 Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected AutoEncoders Based Approach.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 32
(January, 2023),
pp. 29312946 [doi] [abs]
 Shan, S; Daubechies, I, Diffusion Maps: Using the Semigroup Property for Parameter Tuning,
in Applied and Numerical Harmonic Analysis, vol. Part F6
(January, 2023),
pp. 409424 [doi] [abs]
 Daubechies, I; DeVore, R; Foucart, S; Hanin, B; Petrova, G, Nonlinear Approximation and (Deep) ReLU Networks,
Constructive Approximation, vol. 55 no. 1
(February, 2022),
pp. 127172 [doi] [abs]
 Pu, W; Huang, JJ; Sober, B; Daly, N; Higgitt, C; Daubechies, I; Dragotti, PL; Rodrigues, MRD, Mixed XRay Image Separation for Artworks With Concealed Designs.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 31
(January, 2022),
pp. 44584473 [doi] [abs]
Deng, Haohua
 Deng, H, Extension of period maps by polyhedral fans,
Advances in Mathematics, vol. 406
(September, 2022) [doi] [abs]
Dolbow, John E.
 Liu, Y; Claus, S; Kerfriden, P; Chen, J; Zhong, P; Dolbow, JE, Modelbased simulations of pulsed laser ablation using an embedded finite element method.,
International Journal of Heat and Mass Transfer, vol. 204
(May, 2023),
pp. 123843 [doi] [abs]
 Fei, F; Costa, A; Dolbow, JE; Settgast, RR; Cusini, M, PhaseField Simulation of NearWellbore Nucleation and Propagation of Hydraulic Fractures in Enhanced Geothermal Systems (EGS),
Society of Petroleum Engineers Spe Reservoir Simulation Conference, Rsc 2023
(January, 2023), ISBN 9781613998717 [doi] [abs]
 Hu, T; Dolbow, JE; Yosibash, Z, Towards validation of crack nucleation criteria from Vnotches in quasibrittle metallic alloys: Energetics or strength?,
Computer Methods in Applied Mechanics and Engineering, vol. 402
(December, 2022) [doi] [abs]
 Costa, A; Cusini, M; Jin, T; Settgast, R; Dolbow, JE, A multiresolution approach to hydraulic fracture simulation,
International Journal of Fracture, vol. 237 no. 12
(September, 2022),
pp. 165188 [doi] [abs]
Donald, Bruce R.
 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. 235246, Stanford, CA
 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 MicroRobot,
in Proceedings of the 12th {\it International Symposium of Robotics Research (ISRR)}
(2005), San Francisco, CA.
 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}.)
 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}.)
 Ryan H. Lilien and Mohini Sridharan and Bruce R. Donald, {Identification of Novel Small Molecule Inhibitors of CoreBinding Factor Dimerization by Computational Screening against NMR Molecular Ensembles} no. TR2004492
(2004), Hanover, NH [pdf]
 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. 110, University of Utrecht, Utrecht/Zeist, The Netherlands
 C. Langmead and B. R. Donald, HighThroughput 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
 A. Yan and C. Langmead and B. R. Donald, A ProbabilityBased 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. 437438, San Diego
 L. Wang and B. R. Donald, Analysis of a Systematic SearchBased 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. 319330, Stanford, CA
 A. Anderson and R. Lilien and V. Popov and B. R. Donald, Ensembles of Active Site Conformations Allow StructureBased Redesign and Drug Design
(2003), New Orleans ({\poster} {\it 225th American Chemical Society National Meeting}.)
 Christopher J. Langmead and Bruce R. Donald, {An Improved Nuclear Vector Replacement Algorithm for Nuclear Magnetic Resonance Assignment} no. TR2004494
(2003), Hanover, NH [pdf]
 B. R. Donald and C. Levey and C. McGray and D. Rus and M. Sinclair, Untethered MicroActuators for Autonomous Microrobot Locomotion: Design, Fabrication, Control, and Performance,
in Proceedings of the 11th {\it International Symposium of Robotics Research}
(2003), Siena, Italy
 R. Lilien and A. Anderson and B. Donald, Modeling Protein Flexibility for StructureBased 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. 122123, Washington DC
 C. J. Langmead and B. R. Donald, Timefrequency Analysis of Protein NMR Data
(2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB2000})}.)
 C. BaileyKellogg 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 MainChain Assignment from Sparse, Unassigned NMR Data
(2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB2000})}.)
 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. ({ISMB2000})}.)
 C. BaileyKellogg 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 MainChain Assignment from Sparse, Unassigned NMR Data,
in The Fourth Annual International Conference on Research in Computational Molecular Biology ({RECOMB2000})
(2000),
pp. 3344
 C. BaileyKellogg 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
 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)
 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)
 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
 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)
 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
 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 GeneralPurpose Micromanipulation Tool,
in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation
(1999)
 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
 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
 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}.)
 B. R. Donald and D. Pai, The Motion of Planar CompliantlyConnected Rigid Bodies in Contact, with Applications to Automatic Fastening,
International Journal of Robotics Research, vol. 12 no. 4
(1993),
pp. 307338
 R. Brown and P. Chew and B. R. Donald, Mobile Robots, Mapmaking, 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
 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
 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
 B. R. Donald, Robot Motion Planning,
IEEE Trans. on Robotics and Automation, vol. 8 no. 2
(1992)
 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. 251260, Berlin
 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
 B. R. Donald and P. Xavier, A Provably Good Approximation Algorithm for OptimalTime Trajectory Planning,
in Proc. IEEE International Conference on Robotics and Automation
(1989),
pp. 958964, Scottsdale, AZ
 B. R. Donald, The Complexity of Planar Compliant Motion Planning with Uncertainty,
in Proc. 4th ACM Symposium on Computational Geometry
(1988),
pp. 309318, Urbana. IL
 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
Dunlap, Alexander J
 Dunlap, A; Gu, Y; Komorowski, T, Fluctuation exponents of the KPZ equation on a large torus,
Communications on Pure and Applied Mathematics, vol. 76 no. 11
(November, 2023),
pp. 31043149, WILEY [doi] [abs]
 Drivas, TD; Dunlap, A; Graham, C; La, J; Ryzhik, L, Invariant measures for stochastic conservation laws on the line,
Nonlinearity, vol. 36 no. 9
(September, 2023),
pp. 45534594 [doi] [abs]
 Dunlap, A; Gu, Y; Li, L, Localization Length of the $$1+1$$ Continuum Directed Random Polymer,
Annales Henri Poincaré, vol. 24 no. 7
(July, 2023),
pp. 25372555, Springer Science and Business Media LLC [doi]
 Dunlap, A; Mourrat, JC, Local Versions of SumofNorms Clustering,
Siam Journal on Mathematics of Data Science, vol. 4 no. 4
(December, 2022),
pp. 12501271, Society for Industrial & Applied Mathematics (SIAM) [doi]
 Dunlap, A; Gu, Y, A forwardbackward SDE from the 2D nonlinear stochastic heat equation,
The Annals of Probability, vol. 50 no. 3
(May, 2022), Institute of Mathematical Statistics [doi]
 Dunlap, A; Gu, Y, A quenched local limit theorem for stochastic flows,
Journal of Functional Analysis, vol. 282 no. 6
(March, 2022) [doi] [abs]
Dunson, David B.
(search)
 Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernelbased optimization scheme for analyzing nonstationary 1D signals,
Applied and Computational Harmonic Analysis, vol. 66
(September, 2023),
pp. 117 [doi] [abs]
 Rigon, T; Herring, AH; Dunson, DB, A generalized Bayes framework for probabilistic clustering,
Biometrika, vol. 110 no. 3
(September, 2023),
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The Quarterly Journal of Mathematics
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Randles, Amanda
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Perfusion
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 Roychowdhury, S; Draeger, EW; Randles, A, Establishing metrics to quantify spatial similarity in spherical and red blood cell distributions,
Journal of Computational Science, vol. 71
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 Tanade, C; Putney, S; Randles, A, Establishing massively parallel models to examine the influence of cell heterogeneity on tumor growth,
Journal of Computational Science, vol. 71
(July, 2023) [doi] [abs]
 Shi, H; Vardhan, M; Randles, A, The Role of Immersion for Improving Extended Reality Analysis of Personalized Flow Simulations.,
Cardiovascular Engineering and Technology, vol. 14 no. 2
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 Pepona, M; Gounley, J; Randles, A, Effect of constitutive law on the erythrocyte membrane response to large strains,
Computers & Mathematics With Applications, vol. 132
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 Ladd, W; Jensen, C; Vardhan, M; Ames, J; Hammond, JR; Draeger, EW; Randles, A, Optimizing Cloud Computing Resource Usage for Hemodynamic Simulation,
Proceedings 2023 Ieee International Parallel and Distributed Processing Symposium, Ipdps 2023
(January, 2023),
pp. 568578, ISBN 9798350337662 [doi] [abs]
 Puleri, DF; Martin, AX; Randles, A, Distributed Acceleration of Adhesive Dynamics Simulations,
Acm International Conference Proceeding Series
(September, 2022),
pp. 3745, ISBN 9781450397995 [doi] [abs]
 Puleri, DF; Randles, A, The role of adhesive receptor patterns on cell transport in complex microvessels.,
Biomechanics and Modeling in Mechanobiology, vol. 21 no. 4
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pp. 10791098 [doi] [abs]
 Gounley, J; Vardhan, M; Draeger, EW; ValeroLara, P; Moore, SV; Randles, A, Propagation pattern for moment representation of the lattice Boltzmann method.,
Ieee Transactions on Parallel and Distributed Systems, vol. 33 no. 3
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pp. 642653 [doi] [abs]
 Chidyagwai, SG; Vardhan, M; Kaplan, M; Chamberlain, R; Barker, P; Randles, A, Characterization of hemodynamics in anomalous aortic origin of coronary arteries using patientspecific modeling.,
J Biomech, vol. 132
(February, 2022),
pp. 110919 [doi] [abs]
 Feiger, B; LorenzanaSaldivar, E; Cooke, C; Horstmeyer, R; Bishawi, M; Doberne, J; Hughes, GC; Ranney, D; Voigt, S; Randles, A, Evaluation of UNet Based Architectures for Automatic Aortic Dissection Segmentation,
Acm Transactions on Computing for Healthcare, vol. 3 no. 1
(January, 2022) [doi] [abs]
 Tanade, C; Chen, SJ; Leopold, JA; Randles, A, Analysis identifying minimal governing parameters for clinically accurate in silico fractional flow reserve.,
Frontiers in Medical Technology, vol. 4
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pp. 1034801 [doi] [abs]
 Bishawi, M; Kaplan, M; Chidyagwai, S; Cappiello, J; Cherry, A; MacLeod, D; Gall, K; Evans, N; Kim, M; Shaha, R; Whittle, J; Hollidge, M; Truskey, G; Randles, A, Patient and VentilatorSpecific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID19 Pandemic,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13352 LNCS
(January, 2022),
pp. 137149, ISBN 9783031087561 [doi] [abs]
 Tanade, C; Putney, S; Randles, A, Developing a Scalable Cellular Automaton Model of 3D Tumor Growth,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13350 LNCS
(January, 2022),
pp. 316, ISBN 9783031087509 [doi] [abs]
 Roychowdhury, S; Draeger, EW; Randles, A, Establishing Metrics to Quantify Underlying Structure in Vascular Red Blood Cell Distributions,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13350 LNCS
(January, 2022),
pp. 89102, ISBN 9783031087509 [doi] [abs]
 Puleri, DF; Roychowdhury, S; Balogh, P; Gounley, J; Draeger, EW; Ames, J; Adebiyi, A; Chidyagwai, S; Hernandez, B; Lee, S; Moore, SV; Vetter, JS; Randles, A, High Performance Adaptive Physics Refinement to Enable LargeScale Tracking of Cancer Cell Trajectory,
Proceedings Ieee International Conference on Cluster Computing, Iccc, vol. 2022September
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pp. 230242, ISBN 9781665498562 [doi] [abs]
 Vardhan, M; Shi, H; Urick, D; Patel, M; Leopold, JA; Randles, A, The role of extended reality for planning coronary artery bypass graft surgery,
Proceedings 2022 Ieee Visualization Conference Short Papers, Vis 2022
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pp. 115119, ISBN 9781665488129 [doi] [abs]
Reed, Michael C.
 Kim, R; Nijhout, HF; Reed, MC, Mathematical insights into the role of dopamine signaling in circadian entrainment.,
Mathematical Biosciences, vol. 356
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 Berger, SN; Baumberger, B; Samaranayake, S; Hersey, M; Mena, S; Bain, I; Duncan, W; Reed, MC; Nijhout, HF; Best, J; Hashemi, P, An In Vivo Definition of Brain Histamine Dynamics Reveals Critical Neuromodulatory Roles for This Elusive Messenger.,
International Journal of Molecular Sciences, vol. 23 no. 23
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 Holmes, J; Lau, T; Saylor, R; FernándezNovel, N; Hersey, M; Keen, D; Hampel, L; Horschitz, S; Ladewig, J; Parke, B; Reed, MC; Nijhout, HF; Best, J; Koch, P; Hashemi, P, Voltammetric Approach for Characterizing the Biophysical and Chemical Functionality of Human Induced Pluripotent Stem CellDerived Serotonin Neurons.,
Analytical Chemistry, vol. 94 no. 25
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Journal of Mathematical Biology, vol. 84 no. 6
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Regan, Margaret H.
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Mechanism and Machine Theory, vol. 185
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Robles, Colleen M
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Mathematische Annalen, vol. 382 no. 34
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Rossman, Benjamin
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Leibniz International Proceedings in Informatics, Lipics, vol. 251
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Algorithmica, vol. 84 no. 12
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Rudin, Cynthia D.
 Hahn, S; Zhu, R; Mak, S; Rudin, C; Jiang, Y, An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation,
Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining
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pp. 40894099, ISBN 9798400701030 [doi] [abs]
 Parikh, H; Hoffman, K; Sun, H; Zafar, SF; Ge, W; Jing, J; Liu, L; Sun, J; Struck, A; Volfovsky, A; Rudin, C; Westover, MB, Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective crosssectional study.,
The Lancet Digital Health, vol. 5 no. 8
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 Peloquin, J; Kirillova, A; Rudin, C; Brinson, LC; Gall, K, Prediction of tensile performance for 3D printed photopolymer gyroid lattices using structural porosity, base material properties, and machine learning,
Materials & Design, vol. 232
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 Peloquin, J; Kirillova, A; Mathey, E; Rudin, C; Brinson, LC; Gall, K, Tensile performance data of 3D printed photopolymer gyroid lattices.,
Data in Brief, vol. 49
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Proceedings of the 37th Aaai Conference on Artificial Intelligence, Aaai 2023, vol. 37
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 Wang, C; Han, B; Patel, B; Rudin, C, In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction,
Journal of Quantitative Criminology, vol. 39 no. 2
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 Ou, YJ; Barnett, AJ; Mitra, A; Schwartz, FR; Chen, C; Grimm, L; Lo, JY; Rudin, C, A user interface to communicate interpretable AI decisions to radiologists,
Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 12467
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 Lanners, Q; Parikh, H; Volfovsky, A; Rudin, C; Page, D, Variable Importance Matching for Causal Inference,
Proceedings of Machine Learning Research, vol. 216
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 Garrett, BL; Rudin, C, The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice,
Cornell Law Review
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 Rudin, C, Why black box machine learning should be avoided for highstakes decisions, in brief,
Nature Reviews Methods Primers, vol. 2 no. 1
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 Chen, Z; Ogren, A; Daraio, C; Brinson, LC; Rudin, C, How to see hidden patterns in metamaterials with interpretable machine learning,
Extreme Mechanics Letters, vol. 57
(November, 2022) [doi] [abs]
 Behrouz, A; Lécuyer, M; Rudin, C; Seltzer, M, Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design.,
Ceur Workshop Proceedings, vol. 3318
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pp. 26 [abs]
 Parikh, H; Rudin, C; Volfovsky, A, MALTS: Matching After Learning to Stretch,
Journal of Machine Learning Research, vol. 23
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 Afnan, M; Afnan, MAM; Liu, Y; Savulescu, J; Mishra, A; Conitzer, V; Rudin, C, Data solidarity for machine learning for embryo selection: a call for the creation of an open access repository of embryo data.,
Reproductive Biomedicine Online, vol. 45 no. 1
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pp. 1013 [doi] [abs]
 Huang, H; Wang, Y; Rudin, C; Browne, EP, Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization.,
Communications Biology, vol. 5 no. 1
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pp. 719 [doi] [abs]
 Semenova, L; Rudin, C; Parr, R, On the Existence of Simpler Machine Learning Models,
Acm International Conference Proceeding Series
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pp. 18271858, ISBN 9781450393522 [doi] [abs]
 Wang, T; Rudin, C, Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects,
Informs Journal on Computing, vol. 34 no. 3
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 Liu, J; Zhong, C; Seltzer, M; Rudin, C, Fast Sparse Classification for Generalized Linear and Additive Models.,
Proceedings of Machine Learning Research, vol. 151
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pp. 93049333 [abs]
 Chen, C; Lin, K; Rudin, C; Shaposhnik, Y; Wang, S; Wang, T, A holistic approach to interpretability in financial lending: Models, visualizations, and summaryexplanations,
Decision Support Systems, vol. 152
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 Rudin, C; Chen, C; Chen, Z; Huang, H; Semenova, L; Zhong, C, Interpretable machine learning: Fundamental principles and 10 grand challenges,
Statistics Surveys, vol. 16
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 Li, C; Rudin, C; McCormick, TH, Rethinking Nonlinear Instrumental Variable Models through Prediction Validity,
Journal of Machine Learning Research, vol. 23
(January, 2022) [abs]
 McTavish, H; Zhong, C; Achermann, R; Karimalis, I; Chen, J; Rudin, C; Seltzer, M, Fast Sparse Decision Tree Optimization via Reference Ensembles.,
Proceedings of the ... Aaai Conference on Artificial Intelligence. Aaai Conference on Artificial Intelligence, vol. 36 no. 9
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pp. 96049613 [doi] [abs]
 Barnett, AJ; Sharma, V; Gajjar, N; Fang, J; Schwartz, FR; Chen, C; Lo, JY; Rudin, C, Interpretable Deep Learning Models for Better ClinicianAI Communication in Clinical Mammography,
Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 12035
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 Wang, ZJ; Zhong, C; Xin, R; Takagi, T; Chen, Z; Chau, DH; Rudin, C; Seltzer, M, TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization,
Proceedings 2022 Ieee Visualization Conference Short Papers, Vis 2022
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pp. 6064, ISBN 9781665488129 [doi] [abs]
 Liu, J; Zhong, C; Li, B; Seltzer, M; Rudin, C, FasterRisk: Fast and Accurate Interpretable Risk Scores,
Advances in Neural Information Processing Systems, vol. 35
(January, 2022), ISBN 9781713871088 [abs]
 Lobo, E; Singh, H; Petrik, M; Rudin, C; Lakkaraju, H, Data Poisoning Attacks on OffPolicy Policy Evaluation Methods,
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, Uai 2022
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pp. 12641274, ISBN 9781713863298 [abs]
 Xin, R; Zhong, C; Chen, Z; Takagi, T; Seltzer, M; Rudin, C, Exploring the Whole Rashomon Set of Sparse Decision Trees,
Advances in Neural Information Processing Systems, vol. 35
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Ryser, Marc D.
 Lange, J; Zhao, Y; Gogebakan, KC; OlivasMartinez, A; Ryser, MD; Gard, CC; Etzioni, R, Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure.,
Stat Methods Med Res, vol. 32 no. 6
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