Marco Fumero

According to our database, Marco Fumero authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Look Around and Find Out: OOD Detection with Relative Angles.

Berker Demirel, Marco Fumero, Francesco Locatello

CoRR, 2024

Unifying Causal Representation Learning with the Invariance Principle.

Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

CoRR, 2024

Latent Space Translation via Inverse Relative Projection.

Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà

CoRR, 2024

Latent Functional Maps.

Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà

CoRR, 2024

C²M³: Cycle-Consistent Multi-Model Merging.

Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà

CoRR, 2024

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models.

Marco Fumero, Emanuele Rodolà, Clémentine Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.

Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Space Translation via Semantic Alignment.

Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging sparse and shared feature activations for disentangled representation learning.

Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Relative representations enable zero-shot latent space communication.

Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.

Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation.

Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unsupervised Source Separation via Bayesian Inference in the Latent Domain.

Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà

CoRR, 2021

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation.

Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero

CoRR, 2021

Learning disentangled representations via product manifold projection.

Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Nonlinear spectral geometry processing via the TV transform.

Marco Fumero, Michael Möller, Emanuele Rodolà

ACM Trans. Graph., 2020

A parametric analysis of discrete Hamiltonian functional maps.

Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà

Comput. Graph. Forum, 2020