Corso, Gabriele

30 publications

ICLR 2025 Composing Unbalanced Flows for Flexible Docking and Relaxation Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola, Andreas Krause

ICLR 2024 Deep Confident Steps to New Pockets: Strategies for Docking Generalization Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola

ICML 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola

ICLRW 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola

ICML 2024 DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu, Gabriele Corso, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

ICMLW 2024 Flexible Docking via Unbalanced Flow Matching Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola, Andreas Krause

ICMLW 2024 Flexible Docking via Unbalanced Flow Matching Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola, Andreas Krause

ICMLW 2024 PLINDER: The Protein-Ligand Interactions Dataset and Evaluation Resource Janani Durairaj, Yusuf Adeshina, Zhonglin Cao, Xuejin Zhang, Vladas Oleinikovas, Thomas Duignan, Zachary McClure, Xavier Robin, Emanuele Rossi, Guoqing Zhou, Srimukh Prasad Veccham, Clemens Isert, Yuxing Peng, Prabindh Sundareson, Mehmet Akdel, Gabriele Corso, Hannes Stark, Zachary Wayne Carpenter, Michael M. Bronstein, Emine Kucukbenli, Torsten Schwede, Luca Naef

ICLR 2024 Particle Guidance: Non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola

ICLRW 2023 DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stark, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola

NeurIPSW 2023 DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility Michael Plainer, Marcella Toth, Simon Dobers, Hannes Stark, Gabriele Corso, Céline Marquet, Regina Barzilay

ICLR 2023 DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola

ICLRW 2023 EigenFold: Generative Protein Structure Prediction with Diffusion Models Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola

NeurIPSW 2023 Particle Guidance: Non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi Jaakkola

NeurIPSW 2023 The Discovery of Binding Modes Requires Rethinking Docking Generalization Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi Jaakkola

ICML 2022 3D Infomax Improves GNNs for Molecular Property Prediction Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió

NeurIPSW 2022 DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola

NeurIPSW 2022 DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola

ICLRW 2022 Graph Anisotropic Diffusion Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein

ICLRW 2022 Graph Anisotropic Diffusion for Molecules Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein

LoG 2022 Learning Graph Search Heuristics Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Veličković, Zhitao Ying, Jure Leskovec, Pietro Lio

ECCV 2022 Subspace Diffusion Generative Models Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

LoG 2022 The First Learning on Graphs Conference: Preface Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov

NeurIPS 2022 Torsional Diffusion for Molecular Conformer Generation Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola

ICLRW 2022 Torsional Diffusion for Molecular Conformer Generation Bowen Jing, Gabriele Corso, Regina Barzilay, Tommi S. Jaakkola

NeurIPSW 2021 3D Infomax Improves GNNs for Molecular Property Prediction Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lio

ICML 2021 Directional Graph Networks Dominique Beaini, Saro Passaro, Vincent Létourneau, Will Hamilton, Gabriele Corso, Pietro Lió

ICLRW 2021 Directional Graph Networks Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò

NeurIPS 2021 Neural Distance Embeddings for Biological Sequences Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò

NeurIPS 2020 Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković