Manuel Lecha

PhD student, Università degli Studi di Genova, Istituto Italiano di Tecnologia

Joined

October 2023

Names

Manuel Lecha (Preferred)

Emails

****@gmail.com (Confirmed)

****@iit.it (Confirmed)

Personal Links

Career & Education History

PhD student

Università degli Studi di Genova, Istituto Italiano di Tecnologia (iit.it)

2024 – 2027

Advisors, Relations & Conflicts

PhD Advisor

Alessio Del Bue

2024 – 2027

PhD Advisor

Michael M. Bronstein

2024 – 2027

Expertise

Geometric Deep Learning

2024 – Present

Publications

Geometry-grounded Representation Learning and Generative Modeling
Alison Pouplin, Sharvaree Vadgama, Sékou-Oumar Kaba, Manuel Lecha, Jakub M. Tomczak, Robin Walters, Stefanie Jegelka, Erik J Bekkers
- ICLR 2026 Workshop Proposals
- Readers: Everyone
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro
- ICLR 2026 Poster
- Readers: Everyone
TopoBench: A Framework for Benchmarking Topological Deep Learning
Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, VICTOR GUALLAR, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V Nikitin, Giordan Escalona et al. (17 additional authors not shown)
- Accepted by DMLR
- Readers: Everyone
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha et al. (23 additional authors not shown)
- CoRR 2024
- Readers: Everyone
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate et al. (53 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro
- CoRR 2024
- Readers: Everyone
ICML 2023 Topological Deep Learning Challenge: Design and Results
Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro et al. (42 additional authors not shown)
- TAG-ML 2023
- Readers: Everyone

Co-Authors

View all 145 co-authors

Manuel Lecha

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Geometry-grounded Representation Learning and Generative Modeling

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding

TopoBench: A Framework for Benchmarking Topological Deep Learning

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

Higher-Order Topological Directionality and Directed Simplicial Neural Networks

ICML 2023 Topological Deep Learning Challenge: Design and Results

Co-Authors