David J. Schwab
David J. Schwab
ITS, CUNY Graduate Center
Verified email at gc.cuny.edu - Homepage
Title
Cited by
Cited by
Year
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
3882019
Supervised learning with quantum-inspired tensor networks
EM Stoudenmire, DJ Schwab
arXiv preprint arXiv:1605.05775, 2016
2622016
An exact mapping between the variational renormalization group and deep learning
P Mehta, DJ Schwab
arXiv preprint arXiv:1410.3831, 2014
2492014
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
2032011
Energetic costs of cellular computation
P Mehta, DJ Schwab
Proceedings of the National Academy of Sciences 109 (44), 17978-17982, 2012
1872012
Atomic Weights and Isotopic Compositions (version 4.1).[Online] Available: http://physics. nist. gov/Comp [2017, March, 20]. National Institute of Standards and Technology
JS Coursey, DJ Schwab, JJ Tsai, RA Dragoset
Gaithersburg, MD 81, 2015
135*2015
Symmetric extensions of quantum states and local hidden variable theories
BM Terhal, AC Doherty, D Schwab
Physical review letters 90 (15), 157903, 2003
1082003
Zipf’s law and criticality in multivariate data without fine-tuning
DJ Schwab, I Nemenman, P Mehta
Physical review letters 113 (6), 068102, 2014
1072014
The deterministic information bottleneck
DJ Strouse, DJ Schwab
Neural computation 29 (6), 1611-1630, 2017
912017
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
732014
X-ray transition energies (version 1.2).[Online] Available: http://physics. nist. gov/XrayTrans [2009, October 20]. National Institute of Standards and Technology
RD Deslattes, EG Kessler Jr, P Indelicato, L de Billy, E Lindroth, J Anton, ...
Gaithersburg, MD, 2005
61*2005
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
602014
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
542015
Lag normalization in an electrically coupled neural network
S Trenholm, DJ Schwab, V Balasubramanian, GB Awatramani
Nature neuroscience 16 (2), 154-156, 2013
542013
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
532015
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
512016
The early phase of neural network training
J Frankle, DJ Schwab, AS Morcos
arXiv preprint arXiv:2002.10365, 2020
432020
Dynamical quorum-sensing in oscillators coupled through an external medium
DJ Schwab, A Baetica, P Mehta
Physica D: Nonlinear Phenomena 241 (21), 1782-1788, 2012
422012
Dynamic tuning of electrical and chemical synaptic transmission in a network of motion coding retinal neurons
S Trenholm, AJ McLaughlin, DJ Schwab, GB Awatramani
Journal of Neuroscience 33 (37), 14927-14938, 2013
412013
Rhythmogenic neuronal networks, emergent leaders, and k-cores
DJ Schwab, RF Bruinsma, JL Feldman, AJ Levine
Physical Review E 82 (5), 051911, 2010
402010
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Articles 1–20