Mathematics : Publications since January 2023
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: Theory and Applications, vol. 117
(February, 2024) [doi] [abs]
 Agarwal, PK; HarPeled, S, Computing InstanceOptimal Kernels in Two Dimensions,
Discrete and Computational Geometry
(January, 2024) [doi] [abs]
 Agarwal, PK; Geft, T; Halperin, D; Taylor, E, Multirobot motion planning for unit discs with revolving areas,
Computational Geometry: Theory and Applications, vol. 114
(October, 2023) [doi] [abs]
Akin, Victoria S
 Akin, V; Viel, S, Equity in Grading Systems: Moving Away From “Fair” Towards Transparency and Inclusion in Coordinated Calculus Courses,
in Justice through the lens of calculus: Framing new possibilities for diversity, equity, and inclusion., edited by Voigt, M; Hagaman, J; Gehrtz, J; Ratliff, B; Alexander, N; Levy, R, vol. 96
(September, 2023), MAA Press
 Akin, V; Bookman, J; Braley, E, Modeling Active Learning in Professional Development for Teaching,
The journal of faculty development, vol. 37 no. 3
(September, 2023),
pp. 2839, Magna Publications
An, Jing
 An, J; Henderson, C; Ryzhik, L, Voting models and semilinear parabolic equations,
Nonlinearity, vol. 36 no. 11
(November, 2023) [doi] [abs]
 An, J; Henderson, C; Ryzhik, L, Quantitative Steepness, SemiFKPP Reactions, and PushmiPullyu Fronts,
Archive for Rational Mechanics and Analysis, vol. 247 no. 5
(October, 2023) [doi] [abs]
 Bréchet, P; Papagiannouli, K; An, J; Montúfar, G, Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with BuresWasserstein Loss,
Proceedings of Machine Learning Research, vol. 202
(January, 2023),
pp. 31063147 [abs]
Aquino, Wilkins
 Aquino, W; Desmond, J; Eldred, M; Kurzawski, A; McCormick, C; Sanders, C; Smith, C; Walsh, T, Assessing decision boundaries under uncertainty,
Structural and Multidisciplinary Optimization, vol. 67 no. 7
(July, 2024) [doi] [abs]
 Aquino, W; Rouse, J; Bonnet, M, Active design of diffuse acoustic fields in enclosures.,
The Journal of the Acoustical Society of America, vol. 155 no. 2
(February, 2024),
pp. 12971307 [doi] [abs]
 Baek, Y; Aquino, W; Mukherjee, S, Generalized Bayes approach to inverse problems with model misspecification.,
Inverse problems, vol. 39 no. 10
(October, 2023),
pp. 105011 [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]
Beale, J. Thomas
 Beale, JT; Tlupova, S, Extrapolated regularization of nearly singular integrals on surfaces,
Advances in Computational Mathematics, vol. 50 no. 4
(August, 2024) [doi] [abs]
Bendich, Paul L
 Solomon, YE; Bendich, P, Convolutional persistence transforms,
Journal of Applied and Computational Topology
(January, 2024) [doi] [abs]
 Catanzaro, MJ; Dharna, A; Hineman, J; Polly, JB; McGoff, K; Smith, AD; Bendich, P, Topological Decompositions Enhance Efficiency of Reinforcement Learning,
IEEE Aerospace Conference Proceedings
(January, 2024) [doi] [abs]
 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]
 Solomon, E; Wagner, A; Bendich, P, FROM GEOMETRY TO TOPOLOGY: INVERSE THEOREMS FOR DISTRIBUTED PERSISTENCE,
Journal of Computational Geometry, vol. 14 no. 2 Special Issue
(January, 2023),
pp. 172196 [doi] [abs]
 Smith, AD; Angeloro, G; Catanzaro, MJ; Patel, N; Bendich, P, Topological Parallax: A Geometric Specification for Deep Perception Models,
Advances in Neural Information Processing Systems, vol. 36
(January, 2023) [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, vol. 12 no. 2
(June, 2024),
pp. 12651373, Springer Science and Business Media LLC [doi] [abs]
 Bezemek, Z; Heldman, M, Importance Sampling for the Empirical Measure of Weakly Interacting Diffusions,
Applied Mathematics and Optimization, vol. 89
(November, 2023), Springer
 Bezemek, ZW; Spiliopoulos, K, Rate of homogenization for fullycoupled McKeanVlasov SDEs,
Stochastics and Dynamics, vol. 23 no. 2
(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] [abs]
Bonolis, Dante
 Bonolis, D; Browning, T; Huang, Z, Density of rational points on some quadric bundle threefolds,
Mathematische Annalen
(January, 2024) [doi] [abs]
 Dante, B; Tim, B, Uniform bounds for rational points on hyperelliptic fibrations,
Annali della Scuola Normale Superiore di Pisa  Classe di Scienze, vol. 24 no. 1
(January, 2023),
pp. 173204, Scuola Normale Superiore  Edizioni della Normale [doi] [abs]
Bookman, Jack
 Akin, V; Bookman, J; Braley, E, Modeling Active Learning in Professional Development for Teaching,
The journal of faculty development, vol. 37 no. 3
(September, 2023),
pp. 2839, Magna Publications
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; Cheeger, J; LimaFilho, P; Rosenberg, J; White, B, The mathematical work of H. Blaine Lawson, Jr.,
Pure and Applied Mathematics Quarterly, vol. 19 no. 6
(January, 2024),
pp. 26272662, International Press
 Bryant, R, The generality of closed G_2 solitons, edited by Cheng, SY; LimaFilho, P; Yau, SST; Yau, ST,
Pure and Applied Mathematics Quarterly, vol. 19 no. 6
(January, 2024),
pp. 28272840, International Press [abs]
Chariker, Christopher L.
 L. Chariker, A. De Masi, J. Lebowitz, E. Presutti, Scaling limit of a generalized contact process,
J. Stat. Phys, vol. 190 no. 3
(March, 2023), ISSN 15729613 [scalinglimitofageneralizedcontactprocess], [doi] [abs]
Cheng, Xiuyuan
 Repasky, M; Cheng, X; Xie, Y, Neural Stein Critics with Staged L^{2}Regularization,
IEEE Transactions on Information Theory, vol. 69 no. 11
(November, 2023),
pp. 72467275 [doi] [abs]
 Landa, B; Cheng, X, Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling,
SIAM Journal on Mathematics of Data Science, vol. 5 no. 3
(September, 2023),
pp. 589614, Society for Industrial & Applied Mathematics (SIAM) [doi]
 Lee, J; Xie, Y; Cheng, X, Training Neural Networks for Sequential ChangePoint Detection,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing  Proceedings, vol. 2023June
(January, 2023), ISBN 9781728163277 [doi] [abs]
Ciocanel, MariaVeronica
 Nelson, AC; Rolls, MM; Ciocanel, MV; McKinley, SA, Minimal Mechanisms of Microtubule Length Regulation in Living Cells.,
Bulletin of mathematical biology, vol. 86 no. 5
(April, 2024),
pp. 58 [doi] [abs]
 Ciocanel, MV; Ding, L; Mastromatteo, L; Reichheld, S; Cabral, S; Mowry, K; Sandstede, B, Parameter Identifiability in PDE Models of Fluorescence Recovery After Photobleaching.,
Bulletin of mathematical biology, vol. 86 no. 4
(March, 2024),
pp. 36 [doi] [abs]
 Topaz, CM; Ning, S; Ciocanel, MV; Bushway, S, Federal criminal sentencing: racebased disparate impact and differential treatment in judicial districts,
Humanities and Social Sciences Communications, vol. 10 no. 1
(December, 2023) [doi] [abs]
 Nelson, AC; Rolls, MM; Ciocanel, MV; McKinley, SA, Minimal Mechanisms of Microtubule Length Regulation in Living Cells
(October, 2023)
 Ciocanel, MV; Goldrosen, N; Topaz, C, Quantifying Federal Sentence Disparities with Inferred Sentencing Records,
SIAM News Blogs
(September, 2023)
 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)
 Benson, J; Bessonov, M; Burke, K; Cassani, S; Ciocanel, MV; Cooney, DB; Volkening, A, How do classroomturnover times depend on lecturehall size?,
Mathematical biosciences and engineering : MBE, vol. 20 no. 5
(March, 2023),
pp. 91799207 [doi] [abs]
 Smith, CM; Goldrosen, N; Ciocanel, MV; Santorella, R; Topaz, CM; Sen, S, Racial Disparities in Criminal Sentencing Vary Considerably across Federal Judges,
Journal of Institutional and Theoretical Economics, vol. 179
(January, 2023), Mohr Siebeck [doi]
 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 : MBE, vol. 20 no. 2
(January, 2023),
pp. 30233046, American Institute of Mathematical Sciences (AIMS) [doi] [abs]
Cook, Nicholas A
(search)
 Cook, NA; Dembo, A, TYPICAL STRUCTURE OF SPARSE EXPONENTIAL RANDOM GRAPH MODELS,
Annals of Applied Probability, vol. 34 no. 3
(June, 2024),
pp. 28852939 [doi] [abs]
 Cook, NA; Dembo, A; Pham, HT, REGULARITY METHOD AND LARGE DEVIATION PRINCIPLES FOR THE ERDŐS–RÉNYI HYPERGRAPH,
Duke Mathematical Journal, vol. 173 no. 5
(April, 2024),
pp. 873946 [doi] [abs]
 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]
Dasgupta, Samit
 Dasgupta, S; Kakde, M, BRUMER–STARK UNITS AND EXPLICIT CLASS FIELD THEORY,
Duke Mathematical Journal, vol. 173 no. 8
(January, 2024),
pp. 14771555 [doi] [abs]
 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
 Duprez, F; Crombin, M; Daubechies, I; Devries, N; Durant, V; El Khalil, M; Audag, N, [Update on manual bronchial clearance techniques (adults and adolescents)].,
Revue des maladies respiratoires, vol. 41 no. 1
(January, 2024),
pp. 4350 [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]
 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]
 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]
Deng, Haohua
 Deng, H; Robles, C, Completion of twoparameter period maps by nilpotent orbits
(December, 2023) [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]
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; Mourrat, JC, Sumofnorms clustering does not separate nearby balls,
Journal of Machine Learning Research, vol. 25 no. 143
(April, 2024),
pp. 140, Microtome Publishing [abs]
 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] [abs]
Dunson, David B.
(search)
 Huang, J; Morsomme, R; Dunson, D; Xu, J, Detecting changes in the transmission rate of a stochastic epidemic model.,
Statistics in medicine, vol. 43 no. 10
(May, 2024),
pp. 18671882 [doi] [abs]
 Melikechi, O; Dunson, DB, Ellipsoid fitting with the Cayley transform.,
IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 72
(January, 2024),
pp. 7083 [doi] [abs]
 Datta, J; Banerjee, S; Dunson, DB, Nonparametric Bayes multiresolution testing for highdimensional rare events,
Journal of Nonparametric Statistics
(January, 2024) [doi] [abs]
 Winter, S; Campbell, T; Lin, L; Srivastava, S; Dunson, DB, Emerging Directions in Bayesian Computation,
Statistical Science, vol. 39 no. 1
(January, 2024),
pp. 6289 [doi] [abs]
 Zhai, Q; Ye, Z; Li, C; Revie, M; Dunson, DB, Modeling Recurrent Failures on Large Directed Networks,
Journal of the American Statistical Association
(January, 2024) [doi] [abs]
 Jin, B; Herring, AH; Dunson, D, SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA,
Annals of Applied Statistics, vol. 18 no. 2
(January, 2024),
pp. 15961617 [doi] [abs]
 Buch, DA; Johndrow, JE; Dunson, DB, Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model.,
Biometrics, vol. 79 no. 4
(December, 2023),
pp. 29872997 [doi] [abs]
 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),
pp. 559578 [doi] [abs]
 Liu, R; Li, M; Dunson, DB, PPA: Principal parcellation analysis for brain connectomes and multiple traits.,
NeuroImage, vol. 276
(August, 2023),
pp. 120214 [doi] [abs]
 Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Estimating a brain network predictive of stress and genotype with supervised autoencoders.,
J R Stat Soc Ser C Appl Stat, vol. 72 no. 4
(August, 2023),
pp. 912936 [doi] [abs]
 Jin, B; Dunson, DB; Rager, JE; Reif, DM; Engel, SM; Herring, AH, Bayesian matrix completion for hypothesis testing.,
Journal of the Royal Statistical Society. Series C, Applied statistics, vol. 72 no. 2
(May, 2023),
pp. 254270 [doi] [abs]
 Mahzarnia, A; Stout, JA; Anderson, RJ; Moon, HS; Yar Han, Z; Beck, K; Browndyke, JN; Dunson, DB; Johnson, KG; O'Brien, RJ; Badea, A, Identifying vulnerable brain networks associated with Alzheimer's disease risk.,
Cereb Cortex, vol. 33 no. 9
(April, 2023),
pp. 53075322 [doi] [abs]
 Gu, Y; Dunson, DB, Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 85 no. 2
(April, 2023),
pp. 399426 [doi] [abs]
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Journal d'Analyse Mathematique, vol. 151 no. 1
(December, 2023),
pp. 59114 [doi] [abs]
 Pierce, L; Chu, R, Generalizations of the Schrödinger maximal operator: building arithmetic counterexamples,
in https://arxiv.org/abs/2309.05872
(November, 2023)
 An, C; Chu, R; Pierce, LB, Counterexamples for HighDegree Generalizations of the Schrödinger Maximal Operator,
International Mathematics Research Notices, vol. 2023 no. 10
(May, 2023),
pp. 83718418, Oxford University Press (OUP) [doi] [abs]
Randles, Amanda
 Vardhan, M; Tanade, C; Chen, SJ; Mahmood, O; Chakravartti, J; Jones, WS; Kahn, AM; Vemulapalli, S; Patel, M; Leopold, JA; Randles, A, Diagnostic Performance of Coronary Angiography Derived Computational Fractional Flow Reserve.,
J Am Heart Assoc, vol. 13 no. 13
(July, 2024),
pp. e029941 [doi] [abs]
 Chidyagwai, SG; Kaplan, MS; Jensen, CW; Chen, JS; Chamberlain, RC; Hill, KD; Barker, PCA; Slesnick, TC; Randles, A, Surgical Modulation of Pulmonary Artery Shear Stress: A PatientSpecific CFD Analysis of the Norwood Procedure.,
Cardiovasc Eng Technol
(March, 2024) [doi] [abs]
 Geddes, JR; Randles, A, Optimizing Temporal Waveform Analysis: A Novel Pipeline for Efficient Characterization of Left Coronary Artery Velocity Profiles.,
ArXiv
(February, 2024) [abs]
 Nan, J; Roychowdhury, S; Randles, A, Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport.,
Cellular and molecular bioengineering, vol. 16 no. 56
(December, 2023),
pp. 497507 [doi] [abs]
 Yousef, A; Randles, A, Enabling In Situ Visualization of LargeScale Cellular Simulations
(November, 2023)
 Martin, A; Liu, G; Ladd, W; Lee, S; Gounley, J; Vetter, J; Patel, S; Rizzi, S; Mateevitsi, V; Insley, J; Randles, A, Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations,
ACM International Conference Proceeding Series
(November, 2023),
pp. 11261137, ACM, ISBN 9798400707858 [doi] [abs]
 ValeroLara, P; Vetter, J; Gounley, J; Randles, A, Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs,
ACM International Conference Proceeding Series
(November, 2023),
pp. 16971704, ACM, ISBN 9798400707858 [doi] [abs]
 Tanade, C; Rakestraw, E; Ladd, W; Draeger, E; Randles, A, Cloud Computing to Enable WearableDriven Longitudinal Hemodynamic Maps.,
International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing), vol. 2023
(November, 2023),
pp. 82, ACM, ISBN 9798400701092 [doi] [abs]
 Roychowdhury, S; Balogh, P; Mahmud, ST; Puleri, DF; Martin, A; Gounley, J; Draeger, EW; Randles, A, Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts.,
International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing), vol. 2023
(November, 2023),
pp. 41, ACM, ISBN 9798400701092 [doi] [abs]
 Randles, A; Draeger, E; Yousef, A, LowCost Post Hoc Reconstruction of HPC Simulations at Full Resolution,
2023 IEEE 13th Symposium on Large Data Analysis and Visualization (LDAV)
(October, 2023),
pp. 1721, IEEE [doi]
 Feiger, B; Jensen, CW; Bryner, BS; Segars, WP; Randles, A, Modeling the effect of patient size on cerebral perfusion during venoarterial extracorporeal membrane oxygenation.,
Perfusion
(July, 2023),
pp. 2676591231187962 [doi] [abs]
 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
(July, 2023) [doi] [abs]
 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
(April, 2023),
pp. 194203 [doi] [abs]
 Pepona, M; Gounley, J; Randles, A, Effect of constitutive law on the erythrocyte membrane response to large strains.,
Computers & mathematics with applications (Oxford, England : 1987), vol. 132
(February, 2023),
pp. 145160 [doi] [abs]
 Yousef, A; Draeger, E; Randles, A, LowCost Post Hoc Reconstruction of HPC Simulations at Full Resolution
(January, 2023), IEEE
 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]
Reed, Michael C.
 Mena, S; Cruikshank, A; Best, J; Nijhout, HF; Reed, MC; Hashemi, P, Modulation of serotonin transporter expression by escitalopram under inflammation.,
Communications biology, vol. 7 no. 1
(June, 2024),
pp. 710 [doi] [abs]
 Buchanan, AM; Mena, S; Choukari, I; Vasa, A; Crawford, JN; Fadel, J; Maxwell, N; Reagan, L; Cruikshank, A; Best, J; Nijhout, HF; Reed, M; Hashemi, P, Serotonin as a biomarker of toxininduced Parkinsonism.,
Molecular medicine (Cambridge, Mass.), vol. 30 no. 1
(March, 2024),
pp. 33 [doi] [abs]
 Cruikshank, A; Reed, MC; Frederik Nijhout, H, Sex differences in glutathione metabolism and acetaminophen toxicity,
Metabolism and Target Organ Damage, vol. 4 no. 2
(January, 2024) [doi] [abs]
 Suzuki, A; Henao, R; Reed, MC; Nijhout, HF; Tripathi, M; Singh, BK; Yen, PM; Diehl, AM; Abdelmalek, MF, Lower hepatic CBS and PEMT expression in advanced NAFLD: inferencing strategies to lower homocysteine with a mathematical model,
Metabolism and Target Organ Damage, vol. 4 no. 3
(January, 2024) [doi] [abs]
 Cruikshank, A; Nijhout, HF; Best, J; Reed, M, Dynamical questions in volume transmission.,
Journal of biological dynamics, vol. 17 no. 1
(December, 2023),
pp. 2269986 [doi] [abs]
 Witt, CE; Mena, S; Holmes, J; Hersey, M; Buchanan, AM; Parke, B; Saylor, R; Honan, LE; Berger, SN; Lumbreras, S; Nijhout, FH; Reed, MC; Best, J; Fadel, J; Schloss, P; Lau, T; Hashemi, P, Serotonin is a common thread linking different classes of antidepressants.,
Cell chemical biology, vol. 30 no. 12
(December, 2023),
pp. 15571570.e6 [doi] [abs]
 Witt, CE; Mena, S; Holmes, J; Hersey, M; Buchanan, AM; Parke, B; Saylor, R; Honan, LE; Berger, SN; Lumbreras, S; Nijhout, FH; Reed, MC; Best, J; Fadel, J; Schloss, P; Lau, T; Hashemi, P, Serotonin is a Common Thread Linking Different Classes of Antidepressants.,
Res Sq
(March, 2023) [doi] [abs]
 Kim, R; Nijhout, HF; Reed, MC, Mathematical insights into the role of dopamine signaling in circadian entrainment.,
Mathematical biosciences, vol. 356
(February, 2023),
pp. 108956 [doi] [abs]
Regan, Margaret H.
 Rotzoll, M; Regan, MH; Husty, ML; Hayes, MJD, Kinematic geometry of spatial RSSR mechanisms,
Mechanism and Machine Theory, vol. 185
(July, 2023) [doi] [abs]
 Bernal, EA; Hauenstein, JD; Mehta, D; Regan, MH; Tang, T, Machine learning the real discriminant locus,
Journal of Symbolic Computation, vol. 115
(March, 2023),
pp. 409426 [doi] [abs]
Robles, Colleen M
 Deng, H; Robles, C, Completion of twoparameter period maps by nilpotent orbits
(December, 2023) [abs]
 Robles, C, Pseudoconvexity at infinity in Hodge theory: a codimension one example
(February, 2023) [abs]
 Robles, C, Extension of Hodge norms at infinity
(February, 2023) [abs]
Rossman, Benjamin
 Rossman, B, Formula SizeDepth Tradeoffs for Iterated Subpermutation Matrix Multiplication,
Proceedings of the Annual ACM Symposium on Theory of Computing
(June, 2024),
pp. 13861395 [doi] [abs]
 Kush, D; Rossman, B, TREEDEPTH AND THE FORMULA COMPLEXITY OF SUBGRAPH ISOMORPHISM,
SIAM Journal on Computing, vol. 52 no. 1
(January, 2023),
pp. 273325 [doi] [abs]
 He, W; Rossman, B, Symmetric Formulas for Products of Permutations,
Leibniz International Proceedings in Informatics, LIPIcs, vol. 251
(January, 2023), ISBN 9783959772631 [doi] [abs]
Rudin, Cynthia D.
 Parikh, H; Sun, H; Amerineni, R; Rosenthal, ES; Volfovsky, A; Rudin, C; Westover, MB; Zafar, SF, How many patients do you need? Investigating trial designs for antiseizure treatment in acute brain injury patients.,
Annals of clinical and translational neurology
(June, 2024) [doi] [abs]
 Ashokkumar, M; Mei, W; Peterson, JJ; Harigaya, Y; Murdoch, DM; Margolis, DM; Kornfein, C; Oesterling, A; Guo, Z; Rudin, CD; Jiang, Y; Browne, EP, Integrated Singlecell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation.,
Genomics Proteomics Bioinformatics, vol. 22 no. 1
(May, 2024) [doi] [abs]
 Ding, C; Guo, Z; Rudin, C; Xiao, R; Shah, A; Do, DH; Lee, RJ; Clifford, G; Nahab, FB; Hu, X, Learning From Alarms: A Robust Learning Approach for Accurate PhotoplethysmographyBased Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms.,
IEEE journal of biomedical and health informatics, vol. 28 no. 5
(May, 2024),
pp. 26502661 [doi] [abs]
 SealeCarlisle, T; Jain, S; Lee, C; Levenson, C; Ramprasad, S; Garrett, B; Roy, S; Rudin, C; Volfovsky, A, Evaluating Pretrial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference,
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38 no. 20
(March, 2024),
pp. 2233122340 [doi] [abs]
 Donnelly, J; Moffett, L; Barnett, AJ; Trivedi, H; Schwartz, F; Lo, J; Rudin, C, AsymMirai: Interpretable Mammographybased Deep Learning Model for 15year Breast Cancer Risk Prediction.,
Radiology, vol. 310 no. 3
(March, 2024),
pp. e232780 [doi] [abs]
 Sun, Y; Chen, Z; Orlandi, V; Wang, T; Rudin, C, Sparse and Faithful Explanations Without Sparse Models,
Proceedings of Machine Learning Research, vol. 238
(January, 2024),
pp. 20712079 [abs]
 Zhang, R; Xin, R; Seltzer, M; Rudin, C, Optimal Sparse Survival Trees,
Proceedings of Machine Learning Research, vol. 238
(January, 2024),
pp. 352360 [abs]
 Katta, S; Parikh, H; Rudin, C; Volfovsky, A, Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data,
Proceedings of Machine Learning Research, vol. 238
(January, 2024),
pp. 33403348 [abs]
 Parikh, H; Lanners, Q; Akras, Z; Zafar, SF; Westover, MB; Rudin, C; Volfovsky, A, Safe and Interpretable Estimation of Optimal Treatment Regimes,
Proceedings of Machine Learning Research, vol. 238
(January, 2024),
pp. 21342142 [abs]
 Garrett, BL; Rudin, C, The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice,
Cornell Law Review, vol. 109 no. 3
(2024),
pp. 561627
 Liu, J; Rosen, S; Zhong, C; Rudin, C, OKRidge: Scalable Optimal kSparse Ridge Regression.,
Advances in neural information processing systems, vol. 36
(December, 2023),
pp. 4107641258 [abs]
 Semenova, L; Chen, H; Parr, R; Rudin, C, A Path to Simpler Models Starts With Noise.,
Advances in neural information processing systems, vol. 36
(December, 2023),
pp. 33623401 [abs]
 Falcinelli, SD; CooperVolkheimer, AD; Semenova, L; Wu, E; Richardson, A; Ashokkumar, M; Margolis, DM; Archin, NM; Rudin, CD; Murdoch, D; Browne, EP, Impact of Cannabis Use on Immune Cell Populations and the Viral Reservoir in People With HIV on Suppressive Antiretroviral Therapy.,
J Infect Dis, vol. 228 no. 11
(November, 2023),
pp. 16001609 [doi] [abs]
 Garrett, BL; Rudin, C, Interpretable algorithmic forensics.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 120 no. 41
(October, 2023),
pp. e2301842120 [doi] [abs]
 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
(August, 2023),
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
(August, 2023),
pp. e495e502 [doi] [abs]
 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 and Design, vol. 232
(August, 2023) [doi] [abs]
 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
(August, 2023),
pp. 109396 [doi] [abs]
 McDonald, SM; Augustine, EK; Lanners, Q; Rudin, C; Catherine Brinson, L; Becker, ML, Applied machine learning as a driver for polymeric biomaterials design.,
Nature communications, vol. 14 no. 1
(August, 2023),
pp. 4838 [doi] [abs]
 Zhang, R; Xin, R; Seltzer, M; Rudin, C, Optimal Sparse Regression Trees,
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, vol. 37
(June, 2023),
pp. 1127011279, ISBN 9781577358800 [abs]
 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
(June, 2023),
pp. 519581 [doi] [abs]
 Zhang, R; Xin, R; Seltzer, M; Rudin, C, Optimal Sparse Regression Trees.,
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, vol. 37 no. 9
(June, 2023),
pp. 1127011279 [doi] [abs]
 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
(January, 2023), ISBN 9781510660397 [doi] [abs]
 Lanners, Q; Parikh, H; Volfovsky, A; Rudin, C; Page, D, Variable Importance Matching for Causal Inference,
Proceedings of Machine Learning Research, vol. 216
(January, 2023),
pp. 11741184 [abs]
 Agnew, E; Qiu, M; Zhu, L; Wiseman, S; Rudin, C, The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation,
Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 2
(January, 2023),
pp. 16271638, ISBN 9781959429715 [abs]
 Chen, Z; Tan, S; Chajewska, U; Rudin, C; Caruana, R, Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?,
Proceedings of Machine Learning Research, vol. 209
(January, 2023),
pp. 8699 [abs]
 Donnelly, J; Rudin, C; Katta, S; Browne, EP, The Rashomon Importance Distribution: Getting RID of Unstable, Single Modelbased Variable Importance,
Advances in Neural Information Processing Systems, vol. 36
(January, 2023) [abs]
 Ma, C; Zhao, B; Chen, C; Rudin, C, This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations,
Advances in Neural Information Processing Systems, vol. 36
(January, 2023) [abs]
Ryser, Marc D.
 Iyer, M; Mallo, D; Maley, CC; Fortunato, A; Cisneros, L; King, LM; Ryser, MD; Lo, JY; Hall, A; Marks, JR; Hwang, S, Abstract A038: Evaluating DCIS progression: A comparative analysis of CNA predictive power derived from lpWGS and WES data,
Cancer Research, vol. 84 no. 3_Supplement_2
(February, 2024),
pp. A038A038, American Association for Cancer Research (AACR) [doi] [abs]
 Nguyen, DL; Shelley Hwang, E; Ryser, MD; Grimm, LJ, Imaging Changes and Outcomes of Patients Undergoing Active Monitoring for Ductal Carcinoma In Situ: SevenYear Followup Study.,
Acad Radiol
(January, 2024) [doi] [abs]
 Liu, X; Ren, Y; Ryser, M; Grimm, LJ; Lo, JY, A ResidualAttention Multimodal Fusion Network (ResAMFNet) for Detection and Classification of Breast Cancer,
Progress in Biomedical Optics and Imaging  Proceedings of SPIE, vol. 12927
(January, 2024), ISBN 9781510671584 [doi] [abs]
 Schmitz, RSJM; van den BeltDusebout, AW; Clements, K; Ren, Y; Cresta, C; Timbres, J; Liu, YH; Byng, D; Lynch, T; Menegaz, BA; Collyar, D; Hyslop, T; Thomas, S; Love, JK; Schaapveld, M; Bhattacharjee, P; Ryser, MD; Sawyer, E; Hwang, ES; Thompson, A; Wesseling, J; Lips, EH; Schmidt, MK; Grand Challenge PRECISION consortium, , Association of DCIS size and margin status with risk of developing breast cancer posttreatment: multinational, pooled cohort study.,
BMJ, vol. 383
(October, 2023),
pp. e076022 [doi] [abs]
 Ryser, MD; Greenwald, MA; Sorribes, IC; King, LM; Hall, A; Geradts, J; Weaver, DL; Mallo, D; Holloway, S; Monyak, D; Gumbert, G; VaezGhaemi, S; Wu, E; Murgas, K; Grimm, LJ; Maley, CC; Marks, JR; Shibata, D; Hwang, ES, Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development.,
bioRxiv
(October, 2023) [doi] [abs]
 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
(June, 2023),
pp. 10531063 [doi] [abs]
 Byng, D; Thomas, SM; Rushing, CN; Lynch, T; McCarthy, A; Francescatti, AB; Frank, ES; Partridge, AH; Thompson, AM; Retèl, VP; van Harten, WH; Grimm, LJ; Hyslop, T; Hwang, ES; Ryser, MD, Surveillance Imaging after Primary Diagnosis of Ductal Carcinoma in Situ.,
Radiology, vol. 307 no. 1
(April, 2023),
pp. e221210 [doi] [abs]
 Etzioni, R; Gulati, R; Owens, L; Lange, J; Ryser, MD, Abstract IA018: Opportunity for interception as a driver of benefit in cancer early detection: implications for multicancer early detection testing,
Cancer Prevention Research, vol. 16 no. 1_Supplement
(January, 2023),
pp. IA018IA018, American Association for Cancer Research (AACR) [doi] [abs]
 Etzioni, R; Gulati, R; Owens, L; Lange, J; Ryser, MD, Opportunity for interception as a driver of benefit in cancer early detection: implications for multicancer early detection testing.,
CANCER PREVENTION RESEARCH, vol. 16 no. 1
(2023),
pp. 66
 Lynch, T; Basila, D; Schnitt, SJ; Marks, JR; Strand, SH; Hyslop, T; Badve, SS; Watson, MA; LePetross, HT; Grimm, L; West, RB; Weiss, A; Rapperport, A; King, L; Factor, RE; Ryser, MD; Partridge, AH; Hwang, ESS; Thompson, AM; Collyar, DE, From the lab to the clinic: Lessons learned from a translational working group.,
JOURNAL OF CLINICAL ONCOLOGY, vol. 41 no. 16
(2023)
Sapiro, Guillermo
 Schlesinger, O; Kundu, R; Isaev, D; Choi, JY; Goetz, SM; Turner, DA; Sapiro, G; Peterchev, AV; Di Martino, JM, Scalp surface estimation and head registration using sparse sampling and 3D statistical models.,
Comput Biol Med, vol. 178
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pp. 108689 [doi] [abs]
 Isaev, DY; SabatosDeVito, M; Di Martino, JM; Carpenter, K; Aiello, R; Compton, S; Davis, N; Franz, L; Sullivan, C; Dawson, G; Sapiro, G, Computer Vision Analysis of CaregiverChild Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.,
J Autism Dev Disord, vol. 54 no. 6
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pp. 22862297 [doi] [abs]
 Krishnappa Babu, PR; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Perochon, S; Dawson, G; Sapiro, G, Largescale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home,
Conference on Human Factors in Computing Systems  Proceedings
(May, 2024) [doi] [abs]
 Isaev, DY; Vlasova, RM; Di Martino, JM; Stephen, CD; Schmahmann, JD; Sapiro, G; Gupta, AS, Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.,
Cerebellum (London, England), vol. 23 no. 2
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pp. 459470 [doi] [abs]
 Goldberg, CB; Adams, L; Blumenthal, D; Brennan, PF; Brown, N; Butte, AJ; Cheatham, M; deBronkart, D; Dixon, J; Drazen, J; Evans, BJ; Hoffman, SM; Holmes, C; Lee, P; Manrai, AK; Omenn, GS; Perlin, JB; Ramoni, R; Sapiro, G; Sarkar, R; Sood, H; Vayena, E; Kohane, IS; RAISE Consortium, , To do no harm  and the most good  with AI in health care.,
Nature medicine, vol. 30 no. 3
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 Gil, NM; Bertran, M; Sapiro, G, Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers,
Proceedings of Machine Learning Research, vol. 238
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 Franz, L; Viljoen, M; Askew, S; Brown, M; Dawson, G; Di Martino, JM; Sapiro, G; Sebolai, K; Seris, N; Shabalala, N; Stahmer, A; Turner, EL; de Vries, PJ, Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1hybrid effectivenessimplementation trial.,
PLoS One, vol. 19 no. 1
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pp. e0291883 [doi] [abs]
 Nazaret, A; Tonekaboni, S; Darnell, G; Ren, SY; Sapiro, G; Miller, AC, Modeling personalized heart rate response to exercise and environmental factors with wearables data,
npj Digital Medicine, vol. 6 no. 1
(December, 2023) [doi] [abs]
 Perochon, S; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Early detection of autism using digital behavioral phenotyping.,
Nat Med, vol. 29 no. 10
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pp. 24892497 [doi] [abs]
 Schlesinger, O; Kundu, R; Goetz, S; Sapiro, G; Peterchev, AV; Di Martino, JM, Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors.,
Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), vol. 14242
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pp. 1220, ISBN 9783031452482 [doi] [abs]
 Nazaret, A; Sapiro, G, A largescale observational study of the causal effects of a behavioral health nudge.,
Science advances, vol. 9 no. 38
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pp. eadi1752 [doi] [abs]
 Chen, J; Engelhard, M; Henao, R; Berchuck, S; Eichner, B; Perrin, EM; Sapiro, G; Dawson, G, Enhancing early autism prediction based on electronic records using clinical narratives.,
J Biomed Inform, vol. 144
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pp. 104390 [doi] [abs]
 Coffman, M; Di Martino, JM; Aiello, R; Carpenter, KLH; Chang, Z; Compton, S; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Perochon, S; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.,
Autism Res, vol. 16 no. 7
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pp. 13601374 [doi] [abs]
 Krishnappa Babu, PR; Aikat, V; Di Martino, JM; Chang, Z; Perochon, S; Espinosa, S; Aiello, R; L H Carpenter, K; Compton, S; Davis, N; Eichner, B; Flowers, J; Franz, L; Dawson, G; Sapiro, G, Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.,
Sci Rep, vol. 13 no. 1
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pp. 7158 [doi] [abs]
 Perochon, S; Matias Di Martino, J; Carpenter, KLH; Compton, S; Davis, N; Espinosa, S; Franz, L; Rieder, AD; Sullivan, C; Sapiro, G; Dawson, G, A tabletbased game for the assessment of visual motor skills in autistic children.,
NPJ Digit Med, vol. 6 no. 1
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pp. 17 [doi] [abs]
 Engelhard, MM; Henao, R; Berchuck, SI; Chen, J; Eichner, B; Herkert, D; Kollins, SH; Olson, A; Perrin, EM; Rogers, U; Sullivan, C; Zhu, Y; Sapiro, G; Dawson, G, Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year.,
JAMA Netw Open, vol. 6 no. 2
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 Krishnappa Babu, PR; Di Martino, JM; Chang, Z; Perochon, S; Aiello, R; Carpenter, KLH; Compton, S; Davis, N; Franz, L; Espinosa, S; Flowers, J; Dawson, G; Sapiro, G, Complexity analysis of head movements in autistic toddlers.,
J Child Psychol Psychiatry, vol. 64 no. 1
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