Gabriele Corso

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Diffusion Models

Influence Maximization

Molecular Structures

Top Venues

Publications

Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola
Deep Confident Steps to New Pockets: Strategies for Docking Generalization. ICLR (2024)
Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. CoRR (2024)
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. ICLR (2024)
Gabriele Corso, Arthur Deng, Benjamin Fry, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola
Deep Confident Steps to New Pockets: Strategies for Docking Generalization. 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)
Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models. CoRR (2023)
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking. ICLR (2023)
Gabriele Corso
Modeling Molecular Structures with Intrinsic Diffusion Models. CoRR (2023)
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models. 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)
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió
3D Infomax improves GNNs for Molecular Property Prediction. ICML (2022)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. CoRR (2022)
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
Subspace Diffusion Generative Models. ECCV (23) (2022)
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein
Graph Anisotropic Diffusion. CoRR (2022)
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
The First Learning on Graphs Conference: Preface. LoG (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)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. LoG (2022)
Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
Neural Distance Embeddings for Biological Sequences. NeurIPS (2021)
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò
3D Infomax improves GNNs for Molecular Property Prediction. CoRR (2021)
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
Directional Graph Networks. ICML (2021)
Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
Neural Distance Embeddings for Biological Sequences. CoRR (2021)
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
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR (2021)
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
Principal Neighbourhood Aggregation for Graph Nets. CoRR (2020)
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
Directional Graph Networks. CoRR (2020)
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
Principal Neighbourhood Aggregation for Graph Nets. NeurIPS (2020)