| 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 | 289 | 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 | 199 | 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 | 109 | 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 | 97 | 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 | 77 | 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 | 66 | 2014 |
| New bounds for contagious sets D Reichman Discrete Mathematics 312 (10), 1812-1814, 2012 | 55 | 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 | 35 | 2020 |
| 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 | 28 | 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 | 26 | 2020 |
| Contagious sets in dense graphs D Freund, M Poloczek, D Reichman European Journal of Combinatorics 68, 66-78, 2018 | 25 | 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 | 16 | 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 |
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证
