Bowen Jing

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Diffusion Models

Rotation Invariant

Protein Structure

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Bowen Jing, Bonnie Berger, Tommi S. Jaakkola
AlphaFold Meets Flow Matching for Generating Protein Ensembles. CoRR (2024)
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms. ICLR (2024)
Ezra Erives, Bowen Jing, Tommi S. Jaakkola
Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models. CoRR (2024)
Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
Dirichlet Flow Matching with Applications to DNA Sequence Design. CoRR (2024)
Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola
EigenFold: Generative Protein Structure Prediction with Diffusion Models. CoRR (2023)
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms. CoRR (2023)
Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design. CoRR (2023)
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. ICLR (2023)
Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance. CoRR (2023)
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi Jaakkola
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. CoRR (2022)
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola
Subspace Diffusion Generative Models. CoRR (2022)
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
Subspace Diffusion Generative Models. ECCV (23) (2022)
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
Torsional Diffusion for Molecular Conformer Generation. NeurIPS (2022)
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
Torsional Diffusion for Molecular Conformer Generation. CoRR (2022)
Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract). AAAI (2021)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander 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)
Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror
Learning from Protein Structure with Geometric Vector Perceptrons. ICLR (2021)
Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror
Equivariant Graph Neural Networks for 3D Macromolecular Structure. CoRR (2021)
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 (2020)
Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks. CoRR (2020)
Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror
Learning from Protein Structure with Geometric Vector Perceptrons. CoRR (2020)
Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror
Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR (2020)
Bowen Jing, William Yin
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication. CoRR (2019)
Bowen Jing, Ethan A. Chi, Jillian Tang
SGVAE: Sequential Graph Variational Autoencoder. CoRR (2019)