עקוב אחר
Andrew Saxe
Andrew Saxe
Professor, Gatsby Unit & Sainsbury Wellcome Centre, UCL
כתובת אימייל מאומתת בדומיין ucl.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
22982013
A deep learning framework for neuroscience‏
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...‏
Nature neuroscience 22 (11), 1761-1770, 2019‏
9982019
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
6992019
Qualitatively characterizing neural network optimization problems‏
IJ Goodfellow, O Vinyals, AM Saxe‏
arXiv preprint arXiv:1412.6544, 2014‏
6562014
Measuring invariances in deep networks‏
I Goodfellow, H Lee, Q Le, A Saxe, A Ng‏
Advances in neural information processing systems 22, 2009‏
6082009
On random weights and unsupervised feature learning.‏
AM Saxe, PW Koh, Z Chen, M Bhand, B Suresh, AY Ng‏
Icml 2 (3), 6, 2011‏
5562011
High-dimensional dynamics of generalization error in neural networks‏
MS Advani, AM Saxe, H Sompolinsky‏
Neural Networks 132, 428-446, 2020‏
5412020
If deep learning is the answer, what is the question?‏
A Saxe, S Nelli, C Summerfield‏
Nature Reviews Neuroscience 22 (1), 55-67, 2021‏
3692021
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
3342019
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
2202011
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
208*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
1792019
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
1292013
Multitasking Capability Versus Learning Efficiencyin Neural Network Architectures‏
S Musslick, AM Saxe, K Ozcimder, B Dey, G Henselman, JD Cohen‏
Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017‏
932017
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
812021
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
762018
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
652023
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
622011
Active long term memory networks‏
T Furlanello, J Zhao, AM Saxe, L Itti, BS Tjan‏
arXiv preprint arXiv:1606.02355, 2016‏
542016
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מאמרים 1–20