Gabriele Corso

PhD student, MIT

gcorso@mit.edu

Bio

I'm an first-year PhD student at the MIT Artificial Intelligence Laboratory (CSAIL) co-advised by Tommi Jaakkola and Regina Barzilay. My research focuses on geometric deep learning and generative models and their application to challenging problems in biochemistry and physics.

I recently graduated from the University of Cambridge where I wrote my thesis under the supervision of Pietro Lió and Jure Leskovec. Previously, I interned at Twitter Research, D.E. Shaw and Alchera Technologies as a machine learning researcher and at IBM and STMicroelectronics as a software engineer.

I am also part of the core team and mentor at LeadTheFuture, a nonprofit organization helping talented Italian university and high school students reach their potential.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

Torsional Diffusion for Molecular Conformer Generation

Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola

Under review.

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

Under review.

3D Infomax improves GNNs for Molecular Property Prediction

Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò

ICML 2022.

Neural Distance Embeddings for Biological Sequences

Gabriele Corso, Rex Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò

NeurIPS 2021.

Directional Graph Networks

Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò

ICML 2021. Oral presentation.

Principal Neighbourhood Aggregation for Graph Nets

Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković

NeurIPS 2020.

Torsional Diffusion for Molecular Conformer Generation

Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola

Under review.

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

Under review.

Graph Anisotropic Diffusion

Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein

ICLR 2022 Workshop on Geometrical and Topological Representation Learning.

3D Infomax improves GNNs for Molecular Property Prediction

Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò

ICML 2022.

Neural Distance Embeddings for Biological Sequences

Gabriele Corso, Rex Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò

NeurIPS 2021.

Directional Graph Networks

Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò

ICML 2021. Oral presentation.

Principal Neighbourhood Aggregation for Graph Nets

Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković

NeurIPS 2020.

Vitæ

Acknowledgements

This website uses the website design and template by Martin Saveski.