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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
3922019
Visualizing and Understanding Atari Agents
S Greydanus, A Koul, J Dodge, A Fern
International Conference on Machine Learning, 2018
2092018
Lagrangian Neural Networks
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
ICML Deep Differential Equations Workshop, 2020
1722020
Learning Finite State Representations of Recurrent Policy Networks
A Koul, S Greydanus, A Fern
International Conference on Learning Representations, 72, 2019
572019
Neural Reparameterization Improves Structural Optimization
S Hoyer, J Sohl-Dickstein, S Greydanus
Neural Information Processing Systems: Deep Inverse Workshop, 2019
392019
Learning the Enigma with Recurrent Neural Networks
S Greydanus
arXiv preprint arXiv:1708.07576, 2017
272017
Advances in Neural Information Processing Systems 32
S Greydanus, M Dzamba, J Yosinski, H Wallach, H Larochelle, ...
Curran Associates, 2019
122019
Self-classifying MNIST digits
E Randazzo, A Mordvintsev, E Niklasson, M Levin, S Greydanus
Distill 5 (8), e00027. 002, 2020
102020
Meta-Learning Biologically Plausible Semi-Supervised Update Rules
K Gu, S Greydanus, L Metz, N Maheswaranathan, J Sohl-Dickstein
Cosyne, 2019
102019
Hamiltonian neural networks. arXiv 2019
S Greydanus, M Dzamba, J Yosinski
arXiv preprint arXiv:1906.01563, 0
6
Scaling down Deep Learning
S Greydanus
arXiv preprint arXiv:2011.14439, 2020
52020
Piecewise-constant Neural ODEs
S Greydanus, S Lee, A Fern
arXiv preprint arXiv:2106.06621, 2021
32021
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately
S Greydanus, A Sosanya
arXiv preprint arXiv:2201.10085, 2022
12022
Neural Reparameterization for Optimization of Physical Designs
SG Stephan Hoyer, Jascha Sohl-Dickstein
US Patent US20210192111A1, 2021
1*2021
The Paths Perspective on Value Learning
S Greydanus, C Olah
Distill 4 (9), e20, 2019
12019
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 Use of Wave-Averaged Movies for Measuring Nearshore Circulation
RA Holman, G Wilson, S Greydanus
Ocean Sciences Meeting 2020, 2020
2020
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Articles 1–18