Andrew Saxe

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Surya GanguliAssociate Professor, Stanford UniversityEmail yang diverifikasi di stanford.edu
James L. McClellandStanford UniversityEmail yang diverifikasi di stanford.edu
Madhu AdvaniHarvard UniversityEmail yang diverifikasi di fas.harvard.edu
Andrew NgStanford UniversityEmail yang diverifikasi di cs.stanford.edu
David CoxVP, AI Models; IBM Director, MIT-IBM Watson AI Lab, IBM ResearchEmail yang diverifikasi di ibm.com
Ian GoodfellowDeepMindEmail yang diverifikasi di deepmind.com
Yamini BansalGoogle DeepMindEmail yang diverifikasi di google.com
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaEmail yang diverifikasi di wits.ac.za
Jonathan D. CohenProfessor of NeuroscienceEmail yang diverifikasi di princeton.edu
Artemy KolchinskyUniversitat Pompeu FabraEmail yang diverifikasi di upf.edu
Brendan TraceyDeepMindEmail yang diverifikasi di google.com
Joel DapelloSenior Machine Learning EngineerEmail yang diverifikasi di altoslabs.com
Oriol VinyalsResearch Scientist at Google DeepMindEmail yang diverifikasi di google.com
Honglak LeeLG AI Research / U. MichiganEmail yang diverifikasi di umich.edu
Quoc V. LeResearch Scientist, GoogleEmail yang diverifikasi di stanford.edu
Pang Wei KohUniversity of WashingtonEmail yang diverifikasi di cs.washington.edu
Zhenghao ChenCalico Life SciencesEmail yang diverifikasi di cs.stanford.edu
Adam EarleUniversity of the WitwatersrandEmail yang diverifikasi di students.wits.ac.za
Ritvik MudurEmail yang diverifikasi di google.com
Fuat BalcıProfessor of Biological Sciences, University of ManitobaEmail yang diverifikasi di umanitoba.ca

Ikuti

Andrew Saxe

Professor, Gatsby Unit & Sainsbury Wellcome Centre, UCL

Email yang diverifikasi di ucl.ac.uk - Beranda

Theoretical Neuroscience Machine Learning Psychology


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	2228	2013
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019	932	2019
On the information bottleneck theory of deep learning AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ... Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124020, 2019	651	2019
Qualitatively characterizing neural network optimization problems IJ Goodfellow, O Vinyals, AM Saxe arXiv preprint arXiv:1412.6544, 2014	629	2014
Measuring invariances in deep networks I Goodfellow, H Lee, Q Le, A Saxe, A Ng Advances in neural information processing systems 22, 2009	603	2009
On random weights and unsupervised feature learning. AM Saxe, PW Koh, Z Chen, M Bhand, B Suresh, AY Ng Icml 2 (3), 6, 2011	546	2011
High-dimensional dynamics of generalization error in neural networks MS Advani, AM Saxe, H Sompolinsky Neural Networks 132, 428-446, 2020	522	2020
If deep learning is the answer, what is the question? A Saxe, S Nelli, C Summerfield Nature Reviews Neuroscience 22 (1), 55-67, 2021	337	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	312	2019
Acquisition of decision making criteria: reward rate ultimately beats accuracy F Balci, P Simen, R Niyogi, A Saxe, JA Hughes, P Holmes, JD Cohen Attention, Perception, & Psychophysics 73, 640-657, 2011	213	2011
Orthogonal representations for robust context-dependent task performance in brains and neural networks T Flesch, K Juechems, T Dumbalska, A Saxe, C Summerfield Neuron 110 (7), 1258-1270. e11, 2022	191*	2022
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup S Goldt, M Advani, AM Saxe, F Krzakala, L Zdeborová Advances in neural information processing systems 32, 2019	167	2019
Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013	126	2013
Multitasking capability versus learning efficiency in neural network architectures S Musslick, A Saxe, K Özcimder, B Dey, G Henselman, JD Cohen Cognitive Science Society, 2017	91	2017
Learning hierarchical category structure in deep neural networks AM Saxe, JL McClelland, S Ganguli Proceedings of the 35th annual meeting of the Cognitive Science Society …, 2013	77*	2013
Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning Y Zhang, AM Saxe, MS Advani, AA Lee Molecular Physics 116 (21-22), 3214-3223, 2018	76	2018
Continual learning in the teacher-student setup: Impact of task similarity S Lee, S Goldt, A Saxe International Conference on Machine Learning, 6109-6119, 2021	72	2021
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity A Saxe, M Bhand, R Mudur, B Suresh, AY Ng Shawe-Taylor, J.; Zemel, R.; Bartlett, P, 2011	63	2011
Organizing memories for generalization in complementary learning systems W Sun, M Advani, N Spruston, A Saxe, JE Fitzgerald Nature neuroscience 26 (8), 1438-1448, 2023	55	2023
Active long term memory networks T Furlanello, J Zhao, AM Saxe, L Itti, BS Tjan arXiv preprint arXiv:1606.02355, 2016	55	2016

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