Daniel Reichman

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityE-mail confirmado em princeton.edu
Joshua C. PetersonBoston UniversityE-mail confirmado em bu.edu
Simon KormanUniversity of HaifaE-mail confirmado em cs.haifa.ac.il
Michael KrivelevichProfessor of Mathematics, Tel Aviv UniversityE-mail confirmado em post.tau.ac.il
Pasin ManurangsiGoogle ResearchE-mail confirmado em google.com
Jonathan D. CohenProfessor of NeuroscienceE-mail confirmado em princeton.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyE-mail confirmado em cs.berkeley.edu
Igor ShinkarSimon Fraser UniversityE-mail confirmado em sfu.ca
Amin Coja-OghlanTU DortmundE-mail confirmado em tu-dortmund.de
Tal WagnerTel-Aviv University and AmazonE-mail confirmado em mit.edu
Noga AlonPrinceton University and Tel Aviv UniversityE-mail confirmado em tau.ac.il
Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityE-mail confirmado em stanford.edu
ofer zeitouniWeizmann Institute and New York UniversityE-mail confirmado em weizmann.ac.il
Adam KlivansProfessor of Computer Science, University of Texas at AustinE-mail confirmado em cs.utexas.edu
Dan MikulincerWeizmann InstituteE-mail confirmado em weizmann.ac.il
Omri Ben-EliezerTechnion - Israel Institute of TechnologyE-mail confirmado em cs.technion.ac.il
Dylan J. FosterPrincipal Researcher, Microsoft ResearchE-mail confirmado em microsoft.com
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteE-mail confirmado em ttic.edu
Joseph HalpernProfessor of Computer Science, Cornell UniversityE-mail confirmado em cs.cornell.edu

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Daniel Reichman

Worcester Polytechnic Institute

E-mail confirmado em wpi.edu - Página inicial


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	298	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	242	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	116	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	99	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	83	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	50	2018
Tight hardness results for training depth-2 ReLU networks S Goel, A Klivans, P Manurangsi, D Reichman arXiv preprint arXiv:2011.13550, 2020	40	2020
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	35	2017
Smoothed analysis on connected graphs M Krivelevich, D Reichman, W Samotij SIAM Journal on Discrete Mathematics 29 (3), 1654-1669, 2015	30	2015
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
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	19	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	18	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	15	2017
Deleting and testing forbidden patterns in multi-dimensional arrays O Ben-Eliezer, S Korman, D Reichman arXiv preprint arXiv:1607.03961, 2016	14	2016
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
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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