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
Joshua C. PetersonBoston UniversityVerified email at bu.edu
Michael KrivelevichProfessor of Mathematics, Tel Aviv UniversityVerified email at post.tau.ac.il
Pasin ManurangsiGoogle ResearchVerified email at google.com
Jonathan D. CohenProfessor of NeuroscienceVerified email at princeton.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Igor ShinkarSimon Fraser UniversityVerified email at sfu.ca
Amin Coja-OghlanTU DortmundVerified email at tu-dortmund.de
Tal WagnerAmazonVerified email at mit.edu
Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
ofer zeitouniWeizmann Institute and New York UniversityVerified email at weizmann.ac.il
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
Dan MikulincerWeizmann InstituteVerified email at weizmann.ac.il
Omri Ben-EliezerAssistant Professor in Computer Science, TechnionVerified email at cs.technion.ac.il
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

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	292	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	221	2021
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	114	2019
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	98	2015
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	80	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	67	2014
New bounds for contagious sets D Reichman Discrete Mathematics 312 (10), 1812-1814, 2012	56	2012
The computational complexity of training relu (s) P Manurangsi, D Reichman arXiv preprint arXiv:1810.04207, 2018	47	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
Tight hardness results for training depth-2 ReLU networks S Goel, A Klivans, P Manurangsi, D Reichman arXiv preprint arXiv:2011.13550, 2020	37	2020
Contagious sets in random graphs U Feige, M Krivelevich, D Reichman	35	2017
On the rational boundedness of cognitive control: Shared versus separated representations S Musslick, A Saxe, AN Hoskin, Y Sagiv, D Reichman, G Petri, JD Cohen PsyArXiv, 2020	28	2020
Smoothed analysis on connected graphs M Krivelevich, D Reichman, W Samotij SIAM Journal on Discrete Mathematics 29 (3), 1654-1669, 2015	28	2015
Contagious sets in dense graphs D Freund, M Poloczek, D Reichman European Journal of Combinatorics 68, 66-78, 2018	26	2018
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	17	2021
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	17	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	14	2017
Inference in sparse graphs with pairwise measurements and side information D Foster, K Sridharan, D Reichman International Conference on Artificial Intelligence and Statistics, 1810-1818, 2018	13	2018
Deleting and testing forbidden patterns in multi-dimensional arrays O Ben-Eliezer, S Korman, D Reichman arXiv preprint arXiv:1607.03961, 2016	13	2016
The structure of goal systems predicts human performance DD Bourgin, F Lieder, D Reichman, N Talmon, TL Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017	11	2017

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