Stephan Eismann

According to our database, Stephan Eismann authored at least 12 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Equivariant Graph Neural Networks for 3D Macromolecular Structure.

Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror

CoRR, 2021

Protein sequence-to-structure learning: Is this the end(-to-end revolution)?

Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin

CoRR, 2021

ATOM3D: Tasks on Molecules in Three Dimensions.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning from Protein Structure with Geometric Vector Perceptrons.

Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ATOM3D: Tasks On Molecules in Three Dimensions.

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

CoRR, 2020

Protein model quality assessment using rotation-equivariant, hierarchical neural networks.

Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror

CoRR, 2020

Geometric Prediction: Moving Beyond Scalars.

Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror

CoRR, 2020

Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes.

Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror

CoRR, 2020

2019

Learning Neural PDE Solvers with Convergence Guarantees.

Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Bayesian optimization and attribute adjustment.

Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Shape optimization in laminar flow with a label-guided variational autoencoder.

Stephan Eismann, Stefan Bartzsch, Stefano Ermon

CoRR, 2017

2015

Protein Connectivity in Chemotaxis Receptor Complexes.

Stephan Eismann, Robert G. Endres

PLoS Comput. Biol., 2015