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2020 – today
- 2024
[c10]Bowen Jing, Tommi S. Jaakkola, Bonnie Berger:
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms. ICLR 2024- [c9]Bowen Jing, Bonnie Berger, Tommi S. Jaakkola:
AlphaFold Meets Flow Matching for Generating Protein Ensembles. ICML 2024 - [c8]Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design. ICML 2024 - [c7]Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola:
Dirichlet Flow Matching with Applications to DNA Sequence Design. ICML 2024 - [i21]Bowen Jing, Bonnie Berger, Tommi S. Jaakkola:
AlphaFold Meets Flow Matching for Generating Protein Ensembles. CoRR abs/2402.04845 (2024) - [i20]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 abs/2402.05841 (2024) - [i19]Ezra Erives, Bowen Jing, Tommi S. Jaakkola:
Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models. CoRR abs/2405.02805 (2024) - [i18]Bowen Jing, Hannes Stärk, Tommi S. Jaakkola, Bonnie Berger:
Generative Modeling of Molecular Dynamics Trajectories. CoRR abs/2409.17808 (2024) - [i17]Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. CoRR abs/2412.00800 (2024) - [i16]Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu:
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. CoRR abs/2412.02187 (2024) - [i15]Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu:
Deep Learning Model Security: Threats and Defenses. CoRR abs/2412.08969 (2024) - 2023
- [c6]Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. ICLR 2023 - [i14]Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola:
EigenFold: Generative Protein Structure Prediction with Diffusion Models. CoRR abs/2304.02198 (2023) - [i13]Yunxiang Li
, Bowen Jing, Zihan Li, Jing Wang, You Zhang:
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance. CoRR abs/2309.16967 (2023) - [i12]Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design. CoRR abs/2310.05764 (2023) - [i11]Bowen Jing, Tommi S. Jaakkola, Bonnie Berger:
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms. CoRR abs/2312.04323 (2023) - 2022
- [c5]Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola:
Subspace Diffusion Generative Models. ECCV (23) 2022: 274-289 - [c4]Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola:
Torsional Diffusion for Molecular Conformer Generation. NeurIPS 2022 - [i10]Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola:
Subspace Diffusion Generative Models. CoRR abs/2205.01490 (2022) - [i9]Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola:
Torsional Diffusion for Molecular Conformer Generation. CoRR abs/2206.01729 (2022) - [i8]Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola:
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. CoRR abs/2210.01776 (2022) - 2021
- [c3]Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley:
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract). AAAI 2021: 15805-15806 - [c2]Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. ICLR 2021 - [c1]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 - [i7]Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror:
Equivariant Graph Neural Networks for 3D Macromolecular Structure. CoRR abs/2106.03843 (2021) - 2020
- [i6]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) - [i5]Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley:
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks. CoRR abs/2008.07393 (2020) - [i4]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) - [i3]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)
2010 – 2019
- 2019
- [i2]Bowen Jing, William Yin:
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication. CoRR abs/1909.05815 (2019) - [i1]Bowen Jing, Ethan A. Chi, Jillian Tang:
SGVAE: Sequential Graph Variational Autoencoder. CoRR abs/1912.07800 (2019)
Coauthor Index
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