Sam Greydanus

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Multilayer Perceptron

Top Venues

Publications

Tim Strang, Isabella Caruso, Sam Greydanus
Nature's Cost Function: Simulating Physics by Minimizing the Action. CoRR (2023)
Sam Greydanus
A Tutorial on Structural Optimization. CoRR (2022)
Andrew Sosanya, Sam Greydanus
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately. CoRR (2022)
Sam Greydanus, Stefan Lee, Alan Fern
Piecewise-constant Neural ODEs. CoRR (2021)
Sam Greydanus
Scaling *down* Deep Learning. CoRR (2020)
Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho
Lagrangian Neural Networks. CoRR (2020)
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
Neural reparameterization improves structural optimization. CoRR (2019)
Sam Greydanus, Misko Dzamba, Jason Yosinski
Hamiltonian Neural Networks. CoRR (2019)
Anurag Koul, Alan Fern, Sam Greydanus
Learning Finite State Representations of Recurrent Policy Networks. ICLR (Poster) (2019)
Anurag Koul, Sam Greydanus, Alan Fern
Learning Finite State Representations of Recurrent Policy Networks. CoRR (2018)
Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern
Visualizing and Understanding Atari Agents. CoRR (2017)
Sam Greydanus
Learning the Enigma with Recurrent Neural Networks. CoRR (2017)