Sam Greydanus

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Cursive Transformer. CoRR Sam Greydanus, Zachary Wimpee
2023	J	`jnl`	Nature's Cost Function: Simulating Physics by Minimizing the Action. CoRR Tim Strang, Isabella Caruso, Sam Greydanus
2022	J	`jnl`	A Tutorial on Structural Optimization. CoRR Sam Greydanus
2022	J	`jnl`	Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately. CoRR Andrew Sosanya, Sam Greydanus
2021	J	`jnl`	Piecewise-constant Neural ODEs. CoRR Sam Greydanus, Stefan Lee, Alan Fern
2020	J	`jnl`	Lagrangian Neural Networks. CoRR Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho
2020	J	`jnl`	Scaling down Deep Learning. CoRR Sam Greydanus
2019	J	`jnl`	Hamiltonian Neural Networks. CoRR Sam Greydanus, Misko Dzamba, Jason Yosinski
2019	—	`conf`	Learning Finite State Representations of Recurrent Policy Networks. ICLR (Poster) Anurag Koul, Alan Fern, Sam Greydanus
2019	J	`jnl`	Neural reparameterization improves structural optimization. CoRR Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
2018	J	`jnl`	Learning Finite State Representations of Recurrent Policy Networks. CoRR Anurag Koul, Sam Greydanus, Alan Fern
2017	J	`jnl`	Learning the Enigma with Recurrent Neural Networks. CoRR Sam Greydanus
2017	J	`jnl`	Visualizing and Understanding Atari Agents. CoRR Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern