Marco Nurisso

According to our database, Marco Nurisso authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Geometry of Representational Failures in Vision Language Models.

Daniele Savietto, Declan Campbell, André Panisson, Marco Nurisso, Giovanni Petri, Jonathan D. Cohen, Alan Perotti

CoRR, February, 2026

Topology and Geometry of the Learning Space of ReLU Networks: Connectivity and Singularities.

Marco Nurisso, Pierrick Leroy, Giovanni Petri, Francesco Vaccarino

CoRR, February, 2026

2025

SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders.

Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto

CoRR, September, 2025

Bound by semanticity: universal laws governing the generalization-identification tradeoff.

Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M. Frankland, Richard L. Lewis, Taylor W. Webb, Declan Campbell, Francesco Vaccarino, Jonathan D. Cohen, Giovanni Petri

CoRR, June, 2025

Attributes Shape the Embedding Space of Face Recognition Models.

Pierrick Leroy, Antonio Mastropietro, Marco Nurisso, Francesco Vaccarino

Proceedings of the Forty-second International Conference on Machine Learning, 2025

From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing.

Andrea Santoro, Marco Nurisso, Giovanni Petri

Proceedings of the 33rd European Signal Processing Conference, 2025

No Detector to Rule Them All.

Alan Perotti, Marco Nurisso, Mirko Zaffaroni

Proceedings of the 1st on Deepfake Forensics Workshop: Detection, 2025

2024

Topological obstruction to the training of shallow ReLU neural networks.

Marco Nurisso, Pierrick Leroy, Francesco Vaccarino

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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 Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2022

Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections.

Simone Azeglio, Simone Poetto, Luca Savant Aira, Marco Nurisso

CoRR, 2022