Surya Ganguli

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Niru MaheswaranathanMeta Reality LabsAdresse e-mail validée de fb.com
Jascha Sohl-DicksteinAnthropicAdresse e-mail validée de anthropic.com
Ben PooleResearch Scientist at Google DeepMindAdresse e-mail validée de stanford.edu
Aran NayebiAssistant Professor of Machine Learning, Carnegie Mellon University (CMU)Adresse e-mail validée de cs.cmu.edu
Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityAdresse e-mail validée de stanford.edu
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCLAdresse e-mail validée de ucl.ac.uk
Subhaneil LahiriResearch Scientist, Department of Applied Physics, Stanford UniversityAdresse e-mail validée de stanford.edu
Daniel KuninStanford UniversityAdresse e-mail validée de stanford.edu
Jonathan KadmonThe Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Stephen BaccusProfessor of Neurobiology, Stanford UniversityAdresse e-mail validée de stanford.edu
Hidenori TanakaGroup Leader, CBS-NTT Physics of Intelligence Program, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Mansheej PaulResearch Scientist, DatabricksAdresse e-mail validée de databricks.com
James L. McClellandStanford UniversityAdresse e-mail validée de stanford.edu
Sam OckoStanfordAdresse e-mail validée de mit.edu
Mark J. SchnitzerProfessor, HHMI Investigator, Stanford UniversityAdresse e-mail validée de stanford.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARAdresse e-mail validée de umontreal.ca
Ben SorscherStanford UniversityAdresse e-mail validée de stanford.edu
Alex H WilliamsNew York University & Flatiron InstituteAdresse e-mail validée de nyu.edu
Gintare Karolina DziugaiteGoogle DeepMindAdresse e-mail validée de google.com
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityAdresse e-mail validée de mcb.harvard.edu

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Surya Ganguli

Associate Professor, Stanford University

Adresse e-mail validée de stanford.edu - Page d'accueil

Neuroscience Physics Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep unsupervised learning using nonequilibrium thermodynamics J Sohl-Dickstein, E Weiss, N Maheswaranathan, S Ganguli International conference on machine learning, 2256-2265, 2015	7459	2015
Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International conference on machine learning, 3987-3995, 2017	3193	2017
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	2325	2013
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization YN Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio Advances in neural information processing systems 27, 2014	1914	2014
Deep knowledge tracing C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems 28, 2015	1733	2015
Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022	1269	2022
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	1031	2017
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019	1015	2019
Pruning neural networks without any data by iteratively conserving synaptic flow H Tanaka, D Kunin, DL Yamins, S Ganguli Advances in neural information processing systems 33, 6377-6389, 2020	765	2020
Superspike: Supervised learning in multilayer spiking neural networks F Zenke, S Ganguli Neural computation 30 (6), 1514-1541, 2018	720	2018
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	701	2016
Cortical layer–specific critical dynamics triggering perception JH Marshel, YS Kim, TA Machado, S Quirin, B Benson, J Kadmon, C Raja, ... Science 365 (6453), eaaw5202, 2019	617	2019
Deep learning on a data diet: Finding important examples early in training M Paul, S Ganguli, GK Dziugaite Advances in neural information processing systems 34, 20596-20607, 2021	483	2021
Deep information propagation SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein arXiv preprint arXiv:1611.01232, 2016	449	2016
Beyond neural scaling laws: beating power law scaling via data pruning B Sorscher, R Geirhos, S Shekhar, S Ganguli, A Morcos Advances in Neural Information Processing Systems 35, 19523-19536, 2022	425	2022
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	405	2015
Memory traces in dynamical systems S Ganguli, D Huh, H Sompolinsky Proceedings of the national academy of sciences 105 (48), 18970-18975, 2008	389	2008
Understanding self-supervised learning dynamics without contrastive pairs Y Tian, X Chen, S Ganguli International Conference on Machine Learning, 10268-10278, 2021	341	2021
A mathematical theory of semantic development in deep neural networks AM Saxe, JL McClelland, S Ganguli Proceedings of the National Academy of Sciences 116 (23), 11537-11546, 2019	341	2019
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice J Pennington, S Schoenholz, S Ganguli Advances in neural information processing systems 30, 2017	328	2017

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