Marco Fumero

38 papers A* 10Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Statistical and structural identifiability in representation learning.
CoRR
Walter Nelson, Marco Fumero, Theofanis Karaletsos, Francesco Locatello
2025 J jnl
Boomerang Distillation Enables Zero-Shot Model Size Interpolation.
CoRR
Sara Kangaslahti, Nihal V. Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, David Alvarez-Melis
2025 J jnl
Connecting Neural Models Latent Geometries with Relative Geodesic Representations.
CoRR
Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero
2025 J jnl
Learning Explicit Single-Cell Dynamics Using ODE Representations.
CoRR
Jan-Philipp von Bassewitz, Adeel Pervez, Marco Fumero, Matthew Robinson, Theofanis Karaletsos, Francesco Locatello
2025 J jnl
MorphGen: Controllable and Morphologically Plausible Generative Cell-Imaging.
CoRR
Berker Demirel, Marco Fumero, Theofanis Karaletsos, Francesco Locatello
2025 J jnl
Navigating the Latent Space Dynamics of Neural Models.
CoRR
Marco Fumero, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2025 — conf
Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models.
UniReps
Clémentine C. J. Dominé, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld
2025 — ed.
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, Vancouver, Canada, 14 December 2024.
UniReps
Marco Fumero, Clémentine C. J. Dominé, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld
2025 A* conf
Unifying Causal Representation Learning with the Invariance Principle.
ICLR
Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello
2024 A* conf
$C^2M^3$: Cycle-Consistent Multi-Model Merging.
NeurIPS
Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà
2024 J jnl
C
CoRR
Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà
2024 A* conf
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
ICLR
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
2024 J jnl
Latent Functional Maps.
CoRR
Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
2024 A* conf
Latent Functional Maps: a spectral framework for representation alignment.
NeurIPS
Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
2024 J jnl
Latent Space Translation via Inverse Relative Projection.
CoRR
Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2024 J jnl
Look Around and Find Out: OOD Detection with Relative Angles.
CoRR
Berker Demirel, Marco Fumero, Francesco Locatello
2024 J jnl
Unifying Causal Representation Learning with the Invariance Principle.
CoRR
Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello
2023 A* conf
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.
NeurIPS
Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2023 — conf
Bootstrapping Parallel Anchors for Relative Representations.
Tiny Papers @ ICLR
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
2023 J jnl
Bootstrapping Parallel Anchors for Relative Representations.
CoRR
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
2023 J jnl
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
CoRR
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
2023 A* conf
Latent Space Translation via Semantic Alignment.
NeurIPS
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2023 J jnl
Latent Space Translation via Semantic Alignment.
CoRR
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
2023 A* conf
Leveraging sparse and shared feature activations for disentangled representation learning.
NeurIPS
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 J jnl
Leveraging sparse and shared feature activations for disentangled representation learning.
CoRR
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
2023 — conf
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models.
UniReps
Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023 — ed.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA.
UniReps
Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023 A* conf
Relative representations enable zero-shot latent space communication.
ICLR
Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà
2022 J jnl
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training.
CoRR
Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
2022 A* conf
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation.
CVPR
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan
2022 J jnl
Relative representations enable zero-shot latent space communication.
CoRR
Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà
2021 J jnl
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation.
CoRR
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero
2021 A* conf
Learning disentangled representations via product manifold projection.
ICML
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Learning disentangled representations via product manifold projection.
CoRR
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Unsupervised Source Separation via Bayesian Inference in the Latent Domain.
CoRR
Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
2020 J jnl
A parametric analysis of discrete Hamiltonian functional maps.
Comput. Graph. Forum
Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà
2020 J jnl
Nonlinear Spectral Geometry Processing via the TV Transform.
CoRR
Marco Fumero, Michael Möller, Emanuele Rodolà
2020 J jnl
Nonlinear spectral geometry processing via the TV transform.
ACM Trans. Graph.
Marco Fumero, Michael Möller, Emanuele Rodolà