Yasaman Bahri
Yasaman Bahri
Research Scientist, Google Research
Підтверджена електронна адреса в google.com - Домашня сторінка
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Посилання
Рік
Deep neural networks as gaussian processes
J Lee, Y Bahri, R Novak, SS Schoenholz, J Pennington, J Sohl-Dickstein
arXiv preprint arXiv:1711.00165, 2017
5092017
Wide neural networks of any depth evolve as linear models under gradient descent
J Lee, L Xiao, S Schoenholz, Y Bahri, R Novak, J Sohl-Dickstein, ...
Advances in neural information processing systems 32, 8572-8583, 2019
3882019
Sensitivity and generalization in neural networks: an empirical study
R Novak, Y Bahri, DA Abolafia, J Pennington, J Sohl-Dickstein
arXiv preprint arXiv:1802.08760, 2018
2492018
Localization and topology protected quantum coherence at the edge of hot matter
Y Bahri, R Vosk, E Altman, A Vishwanath
Nature communications 6, 7341, 2015
2022015
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
L Xiao, Y Bahri, J Sohl-Dickstein, SS Schoenholz, J Pennington
https://arxiv.org/abs/1806.05393, 2018
1762018
Bayesian Convolutional Neural Networks with Many Channels are Gaussian Processes
R Novak, L Xiao, J Lee, Y Bahri, D Abolafia, J Pennington, ...
https://arxiv.org/abs/1810.05148, 2018
162*2018
Geometry of neural network loss surfaces via random matrix theory
J Pennington, Y Bahri
International Conference on Machine Learning, 2798-2806, 2017
1052017
Statistical mechanics of deep learning
Y Bahri, J Kadmon, J Pennington, SS Schoenholz, J Sohl-Dickstein, ...
Annual Review of Condensed Matter Physics 11, 501-528, 2020
712020
Phonon analog of topological nodal semimetals
HC Po, Y Bahri, A Vishwanath
Physical Review B 93 (20), 205158, 2016
452016
The large learning rate phase of deep learning: the catapult mechanism
A Lewkowycz, Y Bahri, E Dyer, J Sohl-Dickstein, G Gur-Ari
arXiv preprint arXiv:2003.02218, 2020
442020
Spatial resolution of a type II heterojunction in a single bipolar molecule
C Tao, J Sun, X Zhang, R Yamachika, D Wegner, Y Bahri, G Samsonidze, ...
Nano letters 9 (12), 3963-3967, 2009
322009
Detecting Majorana fermions in quasi-one-dimensional topological phases using nonlocal order parameters
Y Bahri, A Vishwanath
Physical review b 89 (15), 155135, 2014
212014
Infinite attention: NNGP and NTK for deep attention networks
J Hron, Y Bahri, J Sohl-Dickstein, R Novak
International Conference on Machine Learning, 4376-4386, 2020
182020
Explaining neural scaling laws
Y Bahri, E Dyer, J Kaplan, J Lee, U Sharma
arXiv preprint arXiv:2102.06701, 2021
82021
Stable non-Fermi-liquid phase of itinerant spin-orbit coupled ferromagnets
Y Bahri, AC Potter
Physical Review B 92 (3), 035131, 2015
72015
Exact posterior distributions of wide Bayesian neural networks
J Hron, Y Bahri, R Novak, J Pennington, J Sohl-Dickstein
arXiv preprint arXiv:2006.10541, 2020
32020
The evolution of out-of-distribution robustness throughout fine-tuning
A Andreassen, Y Bahri, B Neyshabur, R Roelofs
arXiv preprint arXiv:2106.15831, 2021
22021
The large learning rate phase of deep learning
A Lewkowycz, Y Bahri, E Dyer, J Sohl-Dickstein, G Gur-Ari
2020
Quantum Phenomena in Interacting Many-Body Systems: Topological Protection, Localization, and Non-Fermi Liquids
Y Bahri
University of California, Berkeley, 2017
2017
Explaining Neural Scaling Laws Open Website
Y Bahri, J Lee, E Dyer, J Kaplan, U Sharma
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