Madhu Advani
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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
High-dimensional dynamics of generalization error in neural networks
MS Advani, AM Saxe, H Sompolinsky
Neural Networks 132, 428-446, 2020
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
Statistical mechanics of complex neural systems and high dimensional data
M Advani, S Lahiri, S Ganguli
Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03014, 2013
Statistical physics of community ecology: a cavity solution to MacArthur’s consumer resource model
M Advani, G Bunin, P Mehta
Journal of Statistical Mechanics: Theory and Experiment 2018 (3), 033406, 2018
Dimensionality compression and expansion in deep neural networks
S Recanatesi, M Farrell, M Advani, T Moore, G Lajoie, E Shea-Brown
arXiv preprint arXiv:1906.00443, 2019
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
Statistical mechanics of optimal convex inference in high dimensions
M Advani, S Ganguli
Physical Review X 6 (3), 031034, 2016
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
An equivalence between high dimensional bayes optimal inference and m-estimation
M Advani, S Ganguli
Advances in Neural Information Processing Systems 29, 2016
Minnorm training: an algorithm for training over-parameterized deep neural networks
Y Bansal, M Advani, DD Cox, AM Saxe
arXiv preprint arXiv:1806.00730, 2018
Position and orientation inference via on-board triangulation
M Advani, DS Weile
Plos one 12 (6), e0180089, 2017
New role for circuit expansion for learning in neural networks
J Steinberg, M Advani, H Sompolinsky
Physical Review E 103 (2), 022404, 2021
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
E Littwin, O Saremi, M Advani, V Thilak, P Nakkiran, C Huang, J Susskind
arXiv preprint arXiv:2407.03475, 2024
Step-by-Step Diffusion: An Elementary Tutorial
P Nakkiran, A Bradley, H Zhou, M Advani
arXiv preprint arXiv:2406.08929, 2024
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