Daniel Reichman
Daniel Reichman
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Cited by
Cited by
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
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
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
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
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
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
New bounds for contagious sets
D Reichman
Discrete Mathematics 312 (10), 1812-1814, 2012
The computational complexity of training relu (s)
P Manurangsi, D Reichman
arXiv preprint arXiv:1810.04207, 2018
On systems of linear equations with two variables per equation
U Feige, D Reichman
International Workshop on Randomization and Approximation Techniques in …, 2004
Contagious sets in random graphs
U Feige, M Krivelevich, D Reichman
Tight hardness results for training depth-2 ReLU networks
S Goel, A Klivans, P Manurangsi, D Reichman
arXiv preprint arXiv:2011.13550, 2020
Smoothed analysis on connected graphs
M Krivelevich, D Reichman, W Samotij
SIAM Journal on Discrete Mathematics 29 (3), 1654-1669, 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
Contagious sets in dense graphs
D Freund, M Poloczek, D Reichman
European Journal of Combinatorics 68, 66-78, 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
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
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
Deleting and testing forbidden patterns in multi-dimensional arrays
O Ben-Eliezer, S Korman, D Reichman
arXiv preprint arXiv:1607.03961, 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
On the hardness of approximating Max-Satisfy
U Feige, D Reichman
Information Processing Letters 97 (1), 31-35, 2006
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