Bowen Jing

According to our database1, Bowen Jing authored at least 21 papers between 2019 and 2024.

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Bibliography

2024
Generative Modeling of Molecular Dynamics Trajectories.
CoRR, 2024

Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models.
CoRR, 2024

Dirichlet Flow Matching with Applications to DNA Sequence Design.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AlphaFold Meets Flow Matching for Generating Protein Ensembles.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.
CoRR, 2023

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance.
CoRR, 2023

EigenFold: Generative Protein Structure Prediction with Diffusion Models.
CoRR, 2023

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Torsional Diffusion for Molecular Conformer Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subspace Diffusion Generative Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Equivariant Graph Neural Networks for 3D Macromolecular Structure.
CoRR, 2021

ATOM3D: Tasks on Molecules in Three Dimensions.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning from Protein Structure with Geometric Vector Perceptrons.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Protein model quality assessment using rotation-equivariant, hierarchical neural networks.
CoRR, 2020

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks.
CoRR, 2020

Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes.
CoRR, 2020

2019
SGVAE: Sequential Graph Variational Autoencoder.
CoRR, 2019

Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication.
CoRR, 2019


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