Gabriele Corso

31 papers A* 11Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Composing Unbalanced Flows for Flexible Docking and Relaxation.
ICLR
Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause
2024 A* conf
Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
ICLR
Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
CoRR
Gabriele Corso, Arthur Deng, Benjamin Fry, Nicholas Polizzi, Regina Barzilay, 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
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents.
ICML
Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2024 J jnl
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents.
CoRR
Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
2024 A* conf
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.
ICLR
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models.
CoRR
Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, 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
Modeling Molecular Structures with Intrinsic Diffusion Models.
CoRR
Gabriele Corso
2023 J jnl
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.
CoRR
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2022 A* conf
3D Infomax improves GNNs for Molecular Property Prediction.
ICML
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió
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 J jnl
Graph Anisotropic Diffusion.
CoRR
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein
2022 — conf
Learning Graph Search Heuristics.
LoG
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò
2022 J jnl
Learning Graph Search Heuristics.
CoRR
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
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 — conf
The First Learning on Graphs Conference: Preface.
LoG
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 M. Li, Sofia Bourhim, Ilia Igashov
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 J jnl
3D Infomax improves GNNs for Molecular Property Prediction.
CoRR
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò
2021 A* conf
Directional Graph Networks.
ICML
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
2021 J jnl
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.
CoRR
Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long
2021 A* conf
Neural Distance Embeddings for Biological Sequences.
NeurIPS
Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
2021 J jnl
Neural Distance Embeddings for Biological Sequences.
CoRR
Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
2020 J jnl
Directional Graph Networks.
CoRR
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
2020 A* conf
Principal Neighbourhood Aggregation for Graph Nets.
NeurIPS
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
2020 J jnl
Principal Neighbourhood Aggregation for Graph Nets.
CoRR
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic