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Jeremy Bernstein
Jeremy Bernstein
CSAIL, MIT
Bestätigte E-Mail-Adresse bei mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 2018
10422018
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations, 2018
6772018
signSGD with majority vote is communication efficient and fault tolerant
J Bernstein, J Zhao, K Azizzadenesheli, A Anandkumar
International Conference on Learning Representations, 2019
1972019
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
532020
Learning by turning: Neural architecture aware optimisation
Y Liu, J Bernstein, M Meister, Y Yue
International Conference on Machine Learning, 2021
192021
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
192020
A spectral condition for feature learning
G Yang, JB Simon, J Bernstein
arXiv:2310.17813, 2023
92023
Automatic gradient descent: Deep learning without hyperparameters
J Bernstein, C Mingard, K Huang, N Azizan, Y Yue
arXiv:2304.05187, 2023
82023
Markov transitions between attractor states in a recurrent neural network
J Bernstein, I Dasgupta, D Rolnick, H Sompolinsky
AAAI Spring Symposium Series, 2017
72017
Training neural networks from scratch with parallel low-rank adapters
M Huh, B Cheung, J Bernstein, P Isola, P Agrawal
arXiv:2402.16828, 2024
52024
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
52021
Optimisation & generalisation in networks of neurons
J Bernstein
PhD thesis, California Institute of Technology, 2022
42022
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
Scalable optimization in the modular norm
T Large, Y Liu, M Huh, H Bahng, P Isola, J Bernstein
arXiv:2405.14813, 2024
2024
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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