A parametric analysis of discrete Hamiltonian functional maps. - Emilian Postolache; Marco Fumero; Luca Cosmo; Emanuele Rodolà (Comput. Graph. Forum, 2020)

Nonlinear spectral geometry processing via the TV transform. - Marco Fumero; Michael Möller 001; Emanuele Rodolà (ACM Trans. Graph., 2020)

Learning disentangled representations via product manifold projection. - Marco Fumero; Luca Cosmo; Simone Melzi; Emanuele Rodolà (ICML, 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)

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; Kamal Rahimi Malekshan (CVPR, 2022)

Bootstrapping Parallel Anchors for Relative Representations. - Irene Cannistraci; Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Emanuele Rodolà (Tiny Papers @ ICLR, 2023)

Relative representations enable zero-shot latent space communication. - Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Francesco Locatello; Emanuele Rodolà (ICLR, 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 (NeurIPS, 2023)

Latent Space Translation via Semantic Alignment. - Valentino Maiorca; Luca Moschella; Antonio Norelli; Marco Fumero; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2023)

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. - Antonio Norelli; Marco Fumero; Valentino Maiorca; Luca Moschella; Emanuele Rodolà; Francesco Locatello (NeurIPS, 2023)

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. - Marco Fumero; Emanuele Rodolà; Clémentine C. J. Dominé; Francesco Locatello; Karolina Dziugaite; Mathilde Caron (UniReps, 2023)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. - Irene Cannistraci; Luca Moschella; Marco Fumero; Valentino Maiorca; Emanuele Rodolà (ICLR, 2024)

$C^2M^3$: Cycle-Consistent Multi-Model Merging. - Donato Crisostomi; Marco Fumero; Daniele Baieri; Florian Bernard; Emanuele Rodolà (NeurIPS, 2024)

Latent Functional Maps: a spectral framework for representation alignment. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2024)

C2M3: Cycle-Consistent Multi-Model Merging. - Donato Crisostomi; Marco Fumero; Daniele Baieri; Florian Bernard; Emanuele Rodolà (CoRR, 2024)

Latent Functional Maps. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Latent Space Translation via Inverse Relative Projection. - Valentino Maiorca; Luca Moschella; Marco Fumero; Francesco Locatello; Emanuele Rodolà (CoRR, 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 (ICLR, 2025)

Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models. - Clémentine C. J. Dominé; Marco Fumero; Zorah Lähner; Donato Crisostomi; Luca Moschella; Kimberly Stachenfeld (UniReps, 2025)

Navigating the Latent Space Dynamics of Neural Models. - Marco Fumero; Luca Moschella; Emanuele Rodolà; Francesco Locatello (CoRR, 2025)

Connecting Neural Models Latent Geometries with Relative Geodesic Representations. - Hanlin Yu; Berfin Inal; Georgios Arvanitidis; Søren Hauberg; Francesco Locatello; Marco Fumero (CoRR, 2025)