Bowen Jing

CoRR, September, 2025

Learning residue level protein dynamics with multiscale Gaussians.

[BibT_eX]

[DOI]

Mihir Bafna

CoRR, September, 2025

Continuously Tempered Diffusion Samplers.

[BibT_eX]

[DOI]

CoRR, September, 2025

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models.

[BibT_eX]

[DOI]

Ezra Erives

CoRR, 2024

Generative Modeling of Molecular Dynamics Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dirichlet Flow Matching with Applications to DNA Sequence Design.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AlphaFold Meets Flow Matching for Generating Protein Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.

[BibT_eX]

[DOI]

CoRR, 2023

EigenFold: Generative Protein Structure Prediction with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Torsional Diffusion for Molecular Conformer Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subspace Diffusion Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Equivariant Graph Neural Networks for 3D Macromolecular Structure.

[BibT_eX]

[DOI]

CoRR, 2021

ATOM3D: Tasks on Molecules in Three Dimensions.

[BibT_eX]

[DOI]

Raphael J. L. Townshend

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

Learning from Protein Structure with Geometric Vector Perceptrons.

[BibT_eX]

[DOI]

Raphael John Lamarre Townshend

Stephan Eismann

Patricia Suriana

Ron O. Dror

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

2020

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

[BibT_eX]

[DOI]

Stephan Eismann

Patricia Suriana