Surya Ganguli

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Niru MaheswaranathanMeta Reality LabsVerified email at fb.com
Jascha Sohl-DicksteinAnthropicVerified email at anthropic.com
Ben PooleResearch Scientist at Google DeepMindVerified email at stanford.edu
Aran NayebiAssistant Professor of Machine Learning, Carnegie Mellon University (CMU)Verified email at cs.cmu.edu
Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityVerified email at stanford.edu
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
Subhaneil LahiriResearch Scientist, Department of Applied Physics, Stanford UniversityVerified email at stanford.edu
Daniel KuninStanford UniversityVerified email at stanford.edu
Jonathan KadmonThe Hebrew UniversityVerified email at mail.huji.ac.il
Stephen BaccusProfessor of Neurobiology, Stanford UniversityVerified email at stanford.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Hidenori TanakaGroup Leader, CBS-NTT Physics of Intelligence Program, Harvard UniversityVerified email at fas.harvard.edu
James L. McClellandStanford UniversityVerified email at stanford.edu
Sam OckoStanfordVerified email at mit.edu
Mansheej PaulResearch Scientist, DatabricksVerified email at databricks.com
Mark J. SchnitzerProfessor, HHMI Investigator, Stanford UniversityVerified email at stanford.edu
Alex H WilliamsNew York University & Flatiron InstituteVerified email at nyu.edu
Ben SorscherStanford UniversityVerified email at stanford.edu
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityVerified email at mcb.harvard.edu
Yann N. DauphinGoogle AIVerified email at dauphin.io

Surya Ganguli

Associate Professor, Stanford University

Verified email at stanford.edu - Homepage

Neuroscience Physics Machine Learning


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Deep unsupervised learning using nonequilibrium thermodynamics J Sohl-Dickstein, E Weiss, N Maheswaranathan, S Ganguli International conference on machine learning, 2256-2265, 2015	6240	2015
Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International conference on machine learning, 3987-3995, 2017	2945	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	2232	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	1864	2014
Deep knowledge tracing C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems 28, 2015	1613	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	1086	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	990	2017
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019	934	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	706	2020
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	680	2016
Superspike: Supervised learning in multilayer spiking neural networks F Zenke, S Ganguli Neural computation 30 (6), 1514-1541, 2018	668	2018
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	574	2019
Deep information propagation SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein arXiv preprint arXiv:1611.01232, 2016	431	2016
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	393	2021
Memory traces in dynamical systems S Ganguli, D Huh, H Sompolinsky Proceedings of the national academy of sciences 105 (48), 18970-18975, 2008	391	2008
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	388	2015
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	368	2022
Understanding self-supervised learning dynamics without contrastive pairs Y Tian, X Chen, S Ganguli International Conference on Machine Learning, 10268-10278, 2021	327	2021
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	315	2017
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	314	2019

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