Stephan Eismann

14 papers A* 1A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
2021	J	`jnl`	Equivariant Graph Neural Networks for 3D Macromolecular Structure. CoRR Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror
2021	A*	`conf`	Learning from Protein Structure with Geometric Vector Perceptrons. ICLR Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror
2021	J	`jnl`	Protein sequence-to-structure learning: Is this the end(-to-end revolution)? CoRR Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin
2020	J	`jnl`	ATOM3D: Tasks On Molecules in Three Dimensions. CoRR Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
2020	J	`jnl`	Geometric Prediction: Moving Beyond Scalars. CoRR Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror
2020	J	`jnl`	Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. CoRR Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror
2020	J	`jnl`	Learning from Protein Structure with Geometric Vector Perceptrons. CoRR Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror
2020	J	`jnl`	Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror
2019	—	`conf`	Learning Neural PDE Solvers with Convergence Guarantees. ICLR (Poster) Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon
2019	J	`jnl`	Learning Neural PDE Solvers with Convergence Guarantees. CoRR Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon
2018	A	`conf`	Bayesian optimization and attribute adjustment. UAI Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon
2017	J	`jnl`	Shape optimization in laminar flow with a label-guided variational autoencoder. CoRR Stephan Eismann, Stefan Bartzsch, Stefano Ermon
2015	J	`jnl`	Protein Connectivity in Chemotaxis Receptor Complexes. PLoS Comput. Biol. Stephan Eismann, Robert G. Endres