| A high-bias, low-variance introduction to machine learning for physicists P Mehta, M Bukov, CH Wang, AGR Day, C Richardson, CK Fisher, ... Physics reports 810, 1-124, 2019 | 1109 | 2019 |
| Supervised learning with tensor networks E Stoudenmire, DJ Schwab Advances in neural information processing systems 29, 2016 | 599 | 2016 |
| An exact mapping between the variational renormalization group and deep learning P Mehta, DJ Schwab arXiv preprint arXiv:1410.3831, 2014 | 348 | 2014 |
| α-Ketoglutarate coordinates carbon and nitrogen utilization via enzyme I inhibition CD Doucette, DJ Schwab, NS Wingreen, JD Rabinowitz Nature chemical biology 7 (12), 894-901, 2011 | 252 | 2011 |
| Energetic costs of cellular computation P Mehta, DJ Schwab Proceedings of the National Academy of Sciences 109 (44), 17978-17982, 2012 | 233 | 2012 |
| The early phase of neural network training J Frankle, DJ Schwab, AS Morcos arXiv preprint arXiv:2002.10365, 2020 | 161 | 2020 |
| The deterministic information bottleneck DJ Strouse, DJ Schwab Neural computation 29 (6), 1611-1630, 2017 | 161 | 2017 |
| Atomic weights and isotopic compositions JS Coursey, RA Dragoset, DJ Schwab J S. Coursey, Robert A. Dragoset, D J. Schwab, 1999 | 144* | 1999 |
| Zipf’s law and criticality in multivariate data without fine-tuning DJ Schwab, I Nemenman, P Mehta Physical review letters 113 (6), 068102, 2014 | 142 | 2014 |
| Training batchnorm and only batchnorm: On the expressive power of random features in cnns J Frankle, DJ Schwab, AS Morcos arXiv preprint arXiv:2003.00152, 2020 | 126 | 2020 |
| Symmetric extensions of quantum states and local hidden variable theories BM Terhal, AC Doherty, D Schwab Physical review letters 90 (15), 157903, 2003 | 119 | 2003 |
| Constant growth rate can be supported by decreasing energy flux and increasing aerobic glycolysis N Slavov, BA Budnik, D Schwab, EM Airoldi, A van Oudenaarden Cell reports 7 (3), 705-714, 2014 | 114 | 2014 |
| A central role for mixed acetylcholine/GABA transmission in direction coding in the retina S Sethuramanujam, AJ McLaughlin, G DeRosenroll, A Hoggarth, ... Neuron 90 (6), 1243-1256, 2016 | 94 | 2016 |
| Nonlinear dendritic integration of electrical and chemical synaptic inputs drives fine-scale correlations S Trenholm, AJ McLaughlin, DJ Schwab, MH Turner, RG Smith, F Rieke, ... Nature neuroscience 17 (12), 1759-1766, 2014 | 90 | 2014 |
| Lag normalization in an electrically coupled neural network S Trenholm, DJ Schwab, V Balasubramanian, GB Awatramani Nature neuroscience 16 (2), 154-156, 2013 | 78 | 2013 |
| X-ray Transition Energies (version 1.0) R Deslattes, EG Kessler, P Indelicato, L De Billy, E Lindroth, J Anton, ... R Deslattes, E G. Kessler, Paul Indelicato, L de Billy, E Lindroth, J Anton …, 2003 | 75 | 2003 |
| From intracellular signaling to population oscillations: bridging size‐and time‐scales in collective behavior AE Sgro, DJ Schwab, J Noorbakhsh, T Mestler, P Mehta, T Gregor Molecular systems biology 11 (1), 779, 2015 | 72 | 2015 |
| Learning to share and hide intentions using information regularization DJ Strouse, M Kleiman-Weiner, J Tenenbaum, M Botvinick, DJ Schwab Advances in neural information processing systems 31, 2018 | 68 | 2018 |
| Specific wiring of distinct amacrine cells in the directionally selective retinal circuit permits independent coding of direction and size A Hoggarth, AJ McLaughlin, K Ronellenfitch, S Trenholm, R Vasandani, ... Neuron 86 (1), 276-291, 2015 | 67 | 2015 |
| Are all negatives created equal in contrastive instance discrimination? TT Cai, J Frankle, DJ Schwab, AS Morcos arXiv preprint arXiv:2010.06682, 2020 | 60 | 2020 |
Pankaj MehtaProfessor, Physics, Boston University在 bu.edu 的电子邮件经过验证
