Bowen Jing

28 papers A* 9Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI-based Methods for Simulating, Sampling, and Predicting Protein Ensembles.
CoRR
Bowen Jing, Bonnie Berger, Tommi S. Jaakkola
2025 J jnl
Continuously Tempered Diffusion Samplers.
CoRR
Ezra Erives, Bowen Jing, Peter Holderrieth, Tommi S. Jaakkola
2025 J jnl
Learning residue level protein dynamics with multiscale Gaussians.
CoRR
Mihir Bafna, Bowen Jing, Bonnie Berger
2025 A* conf
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids.
ICLR
Hannes Stärk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2024 A* conf
AlphaFold Meets Flow Matching for Generating Protein Ensembles.
ICML
Bowen Jing, Bonnie Berger, Tommi S. Jaakkola
2024 J jnl
AlphaFold Meets Flow Matching for Generating Protein Ensembles.
CoRR
Bowen Jing, Bonnie Berger, Tommi S. Jaakkola
2024 A* conf
Dirichlet Flow Matching with Applications to DNA Sequence Design.
ICML
Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Dirichlet Flow Matching with Applications to DNA Sequence Design.
CoRR
Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms.
ICLR
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
2024 A* conf
Generative Modeling of Molecular Dynamics Trajectories.
NeurIPS
Bowen Jing, Hannes Stärk, Tommi S. Jaakkola, Bonnie Berger
2024 J jnl
Generative Modeling of Molecular Dynamics Trajectories.
CoRR
Bowen Jing, Hannes Stärk, Tommi S. Jaakkola, Bonnie Berger
2024 A* conf
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design.
ICML
Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models.
CoRR
Ezra Erives, Bowen Jing, Tommi S. Jaakkola
2023 A* conf
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
ICLR
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
EigenFold: Generative Protein Structure Prediction with Diffusion Models.
CoRR
Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola
2023 J jnl
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms.
CoRR
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
2023 J jnl
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.
CoRR
Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
CoRR
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2022 — conf
Subspace Diffusion Generative Models.
ECCV (23)
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola
2022 J jnl
Subspace Diffusion Generative Models.
CoRR
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola
2022 A* conf
Torsional Diffusion for Molecular Conformer Generation.
NeurIPS
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Torsional Diffusion for Molecular Conformer Generation.
CoRR
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
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
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