Sam Greydanus
Sam Greydanus
Oregon State University, ML Collective, ex-Google Brain
Verified email at oregonstate.edu - Homepage
Title
Cited by
Cited by
Year
Hamiltonian Neural Networks
S Greydanus, M Dzamba, J Yosinski
Neural Information Processing Systems, 2019
1862019
Visualizing and Understanding Atari Agents
S Greydanus, A Koul, J Dodge, A Fern
International Conference on Machine Learning, 2018
1382018
Lagrangian Neural Networks
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
ICML Deep Differential Equations Workshop, 2020
652020
Learning Finite State Representations of Recurrent Policy Networks
A Koul, S Greydanus, A Fern
International Conference on Learning Representations, 72, 2019
352019
Learning the Enigma with Recurrent Neural Networks
S Greydanus
arXiv preprint arXiv:1708.07576, 2017
212017
Neural Reparameterization Improves Structural Optimization
S Hoyer, J Sohl-Dickstein, S Greydanus
Neural Information Processing Systems: Deep Inverse Workshop, 2019
172019
Meta-Learning Biologically Plausible Semi-Supervised Update Rules
K Gu, S Greydanus, L Metz, N Maheswaranathan, J Sohl-Dickstein
Cosyne, 2019
52019
Scaling down Deep Learning
S Greydanus
arXiv preprint arXiv:2011.14439, 2020
32020
Self-classifying MNIST Digits
E Randazzo, A Mordvintsev, E Niklasson, M Levin, S Greydanus
Distill 5 (8), e00027. 002, 2020
32020
The Story of Airplane Wings
S Greydanus
arXiv preprint arXiv:2010.07446, 2020
2020
Thread: Differentiable Self-organizing Systems
A Mordvintsev, E Randazzo, E Niklasson, M Levin, S Greydanus
Distill 5 (8), e27, 2020
2020
The Paths Perspective on Value Learning
S Greydanus, C Olah
Distill 4 (9), e20, 2019
2019
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Articles 1–12