Surya Ganguli

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Ben PooleResearch Scientist at Google BrainVerified email at stanford.edu
Jascha Sohl-DicksteinGoogle BrainVerified email at google.com
Niru MaheswaranathanGoogle BrainVerified email at google.com
Andrew SaxeGatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
James L. McClellandStanford UniversityVerified email at stanford.edu
Subhaneil LahiriPostdoctoral Researcher, Department of Applied Physics, Stanford UniversityVerified email at stanford.edu
Aran NayebiNeurosciences Ph.D. Candidate, Stanford UniversityVerified email at stanford.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Haim SompolinskyProfessor of Physics, Racah Institute of Physics, Edmond and Lily Safra Center for Brain SciencesVerified email at mail.huji.ac.il
Sam OckoStanfordVerified email at mit.edu
Daniel YaminsAssistant Professor of Computer Science and Psychology, Stanford UniversityVerified email at stanford.edu
Yann N. DauphinGoogle AIVerified email at dauphin.io
Jonathan KadmonThe Hebrew UniversityVerified email at mail.huji.ac.il
Stephen BaccusProfessor of Neurobiology, Stanford UniversityVerified email at stanford.edu
Alex H WilliamsStanford UniversityVerified email at stanford.edu
Eric M. TrautmannColumbia UniversityVerified email at columbia.edu
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Caglar GulcehreResearch Scientist at Deepmind and PhD from MILAVerified email at iro.umontreal.ca
Kiah HardcastlePostdoctoral Scientist (Neuroscience), Harvard UniversityVerified email at fas.harvard.edu

Surya Ganguli

Associate Professor, Stanford University

Verified email at stanford.edu - Homepage

Neuroscience Physics Machine Learning


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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks AM Saxe, JL McClelland, S Ganguli arXiv preprint arXiv:1312.6120, 2013	1250	2013
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Y Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio arXiv preprint arXiv:1406.2572, 2014	1241	2014
Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International Conference on Machine Learning, 3987-3995, 2017	902	2017
Deep knowledge tracing C Piech, J Spencer, J Huang, S Ganguli, M Sahami, L Guibas, ... arXiv preprint arXiv:1506.05908, 2015	605	2015
On the expressive power of deep neural networks M Raghu, B Poole, J Kleinberg, S Ganguli, J Sohl-Dickstein international conference on machine learning, 2847-2854, 2017	497	2017
Exponential expressivity in deep neural networks through transient chaos B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli Advances in neural information processing systems, 3360-3368, 2016	374	2016
Memory traces in dynamical systems S Ganguli, D Huh, H Sompolinsky Proceedings of the National Academy of Sciences 105 (48), 18970-18975, 2008	310	2008
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019	265	2019
Superspike: Supervised learning in multilayer spiking neural networks F Zenke, S Ganguli Neural computation 30 (6), 1514-1541, 2018	241	2018
On simplicity and complexity in the brave new world of large-scale neuroscience P Gao, S Ganguli Current opinion in neurobiology 32, 148-155, 2015	237	2015
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis S Ganguli, H Sompolinsky Annual review of neuroscience 35, 485-508, 2012	226	2012
Deep information propagation SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein arXiv preprint arXiv:1611.01232, 2016	217	2016
Environmental boundaries as an error correction mechanism for grid cells K Hardcastle, S Ganguli, LM Giocomo Neuron 86 (3), 827-839, 2015	182	2015
Cortical layer–specific critical dynamics triggering perception JH Marshel, YS Kim, TA Machado, S Quirin, B Benson, J Kadmon, C Raja, ... Science 365 (6453), 2019	181	2019
Deep unsupervised learning using nonequilibrium thermodynamics J Sohl-Dickstein, E Weiss, N Maheswaranathan, S Ganguli International Conference on Machine Learning, 2256-2265, 2015	181	2015
Deep learning models of the retinal response to natural scenes L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus Advances in neural information processing systems, 1369-1377, 2016	175	2016
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice J Pennington, SS Schoenholz, S Ganguli Proceedings of the 31st International Conference on Neural Information …, 2017	167	2017
Holographic protection of chronology in universes of the Gödel type EK Boyda, S Ganguli, P Hořava, U Varadarajan Physical Review D 67 (10), 106003, 2003	159	2003
A multiplexed, heterogeneous, and adaptive code for navigation in medial entorhinal cortex K Hardcastle, N Maheswaranathan, S Ganguli, LM Giocomo Neuron 94 (2), 375-387. e7, 2017	151	2017
One-dimensional dynamics of attention and decision making in LIP S Ganguli, JW Bisley, JD Roitman, MN Shadlen, ME Goldberg, KD Miller Neuron 58 (1), 15-25, 2008	131	2008

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