Следене
Sam Greydanus
Sam Greydanus
Windscape AI, previously @Google Brain, @Dartmouth College
Потвърден имейл адрес: windscape.ai - Начална страница
Заглавие
Позовавания
Позовавания
Година
Hamiltonian Neural Networks
S Greydanus, M Dzamba, J Yosinski
Neural Information Processing Systems, 2019
9442019
Lagrangian Neural Networks
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
ICML Deep Differential Equations Workshop, 2020
4662020
Visualizing and Understanding Atari Agents
S Greydanus, A Koul, J Dodge, A Fern
International Conference on Machine Learning, 2018
3822018
Learning Finite State Representations of Recurrent Policy Networks
A Koul, S Greydanus, A Fern
International Conference on Learning Representations, 72, 2019
922019
Neural Reparameterization Improves Structural Optimization
S Hoyer, J Sohl-Dickstein, S Greydanus
Neural Information Processing Systems: Deep Inverse Workshop, 2019
842019
Learning the Enigma with Recurrent Neural Networks
S Greydanus
arXiv preprint arXiv:1708.07576, 2017
382017
Self-classifying MNIST digits
E Randazzo, A Mordvintsev, E Niklasson, M Levin, S Greydanus
Distill 5 (8), e00027. 002, 2020
372020
Dissipative hamiltonian neural networks: Learning dissipative and conservative dynamics separately
S Greydanus, A Sosanya
arXiv preprint arXiv:2201.10085, 2022
282022
Advances in Neural Information Processing Systems
S Greydanus, M Dzamba, J Yosinski
Curran Associates, Inc., 2019
222019
Meta-Learning Biologically Plausible Semi-Supervised Update Rules
K Gu, S Greydanus, L Metz, N Maheswaranathan, J Sohl-Dickstein
Cosyne, 2019
182019
Scaling Down Deep Learning with MNIST-1D
S Greydanus
ICML 2024, 2020
16*2020
Lagrangian neural networks (2020)
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
arXiv preprint arXiv:2003.04630, 2003
142003
Hamiltonian neural networks. arXiv 2019
S Greydanus, M Dzamba, J Yosinski
arXiv preprint arXiv:1906.01563, 0
13
Self-classifying mnist digits. Distill
E Randazzo, A Mordvintsev, E Niklasson, M Levin, S Greydanus
82020
Neural Reparameterization for Optimization of Physical Designs
SG Stephan Hoyer, Jascha Sohl-Dickstein
US Patent US20210192111A1, 2021
6*2021
Piecewise-constant neural ODEs
S Greydanus, S Lee, A Fern
arXiv preprint arXiv:2106.06621, 2021
62021
Thread: Differentiable Self-organizing Systems
A Mordvintsev, E Randazzo, E Niklasson, M Levin, S Greydanus
Distill 5 (8), e27, 2020
52020
Nature's Cost Function: Simulating Physics by Minimizing the Action
SJ Greydanus, TD Strang, I Caruso
ICLR 2023 Workshop on Physics for Machine Learning, 2023
12023
The Paths Perspective on Value Learning
S Greydanus, C Olah
Distill 4 (9), e20, 2019
12019
A Tutorial on Structural Optimization
S Greydanus
arXiv preprint arXiv:2205.08966, 2022
2022
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