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Journal Articles
- 2015
[j1]Stephan Eismann, Robert G. Endres:
Protein Connectivity in Chemotaxis Receptor Complexes. PLoS Comput. Biol. 11(12) (2015)
Conference and Workshop Papers
- 2021
- [c4]Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. ICLR 2021 - [c3]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:
ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks 2021 - 2019
- [c2]Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon:
Learning Neural PDE Solvers with Convergence Guarantees. ICLR (Poster) 2019 - 2018
- [c1]Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon:
Bayesian optimization and attribute adjustment. UAI 2018: 1042-1052
Informal and Other Publications
- 2021
- [i9]Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin:
Protein sequence-to-structure learning: Is this the end(-to-end revolution)? CoRR abs/2105.07407 (2021) - [i8]Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror:
Equivariant Graph Neural Networks for 3D Macromolecular Structure. CoRR abs/2106.03843 (2021) - 2020
- [i7]Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror:
Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. CoRR abs/2006.09275 (2020) - [i6]Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror:
Geometric Prediction: Moving Beyond Scalars. CoRR abs/2006.14163 (2020) - [i5]Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. CoRR abs/2009.01411 (2020) - [i4]Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror:
Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR abs/2011.13557 (2020) - [i3]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:
ATOM3D: Tasks On Molecules in Three Dimensions. CoRR abs/2012.04035 (2020) - 2019
- [i2]Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon:
Learning Neural PDE Solvers with Convergence Guarantees. CoRR abs/1906.01200 (2019) - 2017
- [i1]Stephan Eismann, Stefan Bartzsch, Stefano Ermon:
Shape optimization in laminar flow with a label-guided variational autoencoder. CoRR abs/1712.03599 (2017)
Coauthor Index
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