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Jeremy Bernstein
Jeremy Bernstein
CSAIL, MIT
Dirección de correo verificada de mit.edu - Página principal
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signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 2018
9352018
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations, 2018
6412018
signSGD with majority vote is communication efficient and fault tolerant
J Bernstein, J Zhao, K Azizzadenesheli, A Anandkumar
International Conference on Learning Representations, 2019
1882019
On the distance between two neural networks and the stability of learning
J Bernstein, A Vahdat, Y Yue, MY Liu
Advances in Neural Information Processing Systems, 2020
522020
Learning compositional functions via multiplicative weight updates
J Bernstein, J Zhao, M Meister, MY Liu, A Anandkumar, Y Yue
Advances in Neural Information Processing Systems, 2020
202020
Learning by turning: Neural architecture aware optimisation
Y Liu, J Bernstein, M Meister, Y Yue
International Conference on Machine Learning, 2021
182021
Markov transitions between attractor states in a recurrent neural network
J Bernstein, I Dasgupta, D Rolnick, H Sompolinsky
AAAI Spring Symposium Series, 2017
62017
Automatic gradient descent: Deep learning without hyperparameters
J Bernstein, C Mingard, K Huang, N Azizan, Y Yue
arXiv:2304.05187, 2023
52023
Optimisation & generalisation in networks of neurons
J Bernstein
PhD thesis, California Institute of Technology, 2022
42022
Fine-grained system identification of nonlinear neural circuits
D Bagherian, J Gornet, J Bernstein, YL Ni, Y Yue, M Meister
International Conference on Knowledge Discovery and Data Mining, 2021
42021
Computing the information content of trained neural networks
J Bernstein, Y Yue
Workshop on the Theory of Overparameterized Machine Learning, 2021
42021
Kernel interpolation as a Bayes point machine
J Bernstein, A Farhang, Y Yue
arXiv:2110.04274, 2022
3*2022
Investigating generalization by controlling normalized margin
A Farhang, J Bernstein, K Tirumala, Y Liu, Y Yue
International Conference on Machine Learning, 2022
32022
A spectral condition for feature learning
G Yang, JB Simon, J Bernstein
arXiv:2310.17813, 2023
12023
The neural sampling hypothesis in dynamic environments
J Bernstein
Part III project report, University of Cambridge, 2016
2016
Quantum walk frameworks and quantum speedup of Markov mixing
J Bernstein
SURF project report, California Institute of Technology, 2015
2015
Project Swarm: How technological advances are inspired by swarming animals
J Bernstein
Extended project report, Manchester Grammar School, 2011
2011
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Artículos 1–17