Daniel Reichman

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Simon KormanUniversity of HaifaVerified email at cs.haifa.ac.il
Michael KrivelevichProfessor of Mathematics, Tel Aviv UniversityVerified email at post.tau.ac.il
Joshua C. PetersonPrinceton UniversityVerified email at princeton.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Pasin ManurangsiGoogle ResearchVerified email at google.com
Amin Coja-OghlanTU DortmundVerified email at tu-dortmund.de
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityVerified email at princeton.edu
Igor ShinkarSimon Fraser UniversityVerified email at sfu.ca
Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
ofer zeitouniWeizmann Institute and New York UniversityVerified email at weizmann.ac.il
Tal WagnerAmazonVerified email at mit.edu
Noga AlonPrinceton University and Tel Aviv UniversityVerified email at tau.ac.il
Adam KlivansProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Omri Ben-EliezerMITVerified email at mit.edu
Dylan J. FosterPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Joseph HalpernProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Dan MikulincerWeizmann InstituteVerified email at weizmann.ac.il

Daniel Reichman

Worcester Polytechnic Institute

Verified email at wpi.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast-match: Fast affine template matching S Korman, D Reichman, G Tsur, S Avidan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	277	2013
Using large-scale experiments and machine learning to discover theories of human decision-making JC Peterson, DD Bourgin, M Agrawal, D Reichman, TL Griffiths Science 372 (6547), 1209-1214, 2021	121	2021
On the limitation of spectral methods: From the gaussian hidden clique problem to rank-one perturbations of gaussian tensors A Montanari, D Reichman, O Zeitouni Advances in Neural Information Processing Systems 28, 2015	88	2015
Cognitive model priors for predicting human decisions DD Bourgin, JC Peterson, D Reichman, SJ Russell, TL Griffiths International conference on machine learning, 5133-5141, 2019	85	2019
Predicting human decisions with behavioral theories and machine learning O Plonsky, R Apel, E Ert, M Tennenholtz, D Bourgin, JC Peterson, ... arXiv preprint arXiv:1904.06866, 2019	63	2019
Contagious sets in expanders A Coja-Oghlan, U Feige, M Krivelevich, D Reichman Proceedings of the twenty-sixth annual ACM-SIAM symposium on discrete …, 2014	58	2014
New bounds for contagious sets D Reichman Discrete Mathematics 312 (10), 1812-1814, 2012	54	2012
The computational complexity of training relu (s) P Manurangsi, D Reichman arXiv preprint arXiv:1810.04207, 2018	43	2018
On systems of linear equations with two variables per equation U Feige, D Reichman International Workshop on Randomization and Approximation Techniques in …, 2004	40	2004
Contagious sets in random graphs U Feige, M Krivelevich, D Reichman	34	2017
Smoothed analysis on connected graphs M Krivelevich, D Reichman, W Samotij SIAM Journal on Discrete Mathematics 29 (3), 1654-1669, 2015	26	2015
Contagious sets in dense graphs D Freund, M Poloczek, D Reichman European Journal of Combinatorics 68, 66-78, 2018	24	2018
Tight hardness results for training depth-2 ReLU networks S Goel, A Klivans, P Manurangsi, D Reichman arXiv preprint arXiv:2011.13550, 2020	23	2020
On the rational boundedness of cognitive control: Shared versus separated representations S Musslick, A Saxe, AN Hoskin, D Reichman, JD Cohen PsyArXiv, 2020	20	2020
A graph-theoretic approach to multitasking N Alon, D Reichman, I Shinkar, T Wagner, S Musslick, JD Cohen, ... Advances in neural information processing systems 30, 2017	14	2017
LP-based robust algorithms for noisy minor-free and bounded treewidth graphs N Bansal, D Reichman, SW Umboh Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017	13	2017
Deleting and testing forbidden patterns in multi-dimensional arrays O Ben-Eliezer, S Korman, D Reichman arXiv preprint arXiv:1607.03961, 2016	13	2016
Size and depth separation in approximating benign functions with neural networks G Vardi, D Reichman, T Pitassi, O Shamir Conference on Learning Theory, 4195-4223, 2021	12	2021
On the hardness of approximating Max-Satisfy U Feige, D Reichman Information Processing Letters 97 (1), 31-35, 2006	12	2006
The Structure of Goal Systems Predicts Human Performance. D Bourgin, F Lieder, D Reichman, N Talmon, T Griffiths CogSci-The Annual meeting of the Cognitive Science Society, 2017	11	2017

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