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2020 – today
- 2024
[c9]Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà:
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. ICLR 2024- [i15]Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà:
C2M3: Cycle-Consistent Multi-Model Merging. CoRR abs/2405.17897 (2024) - [i14]Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà:
Latent Functional Maps. CoRR abs/2406.14183 (2024) - [i13]Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Inverse Relative Projection. CoRR abs/2406.15057 (2024) - [i12]Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello:
Unifying Causal Representation Learning with the Invariance Principle. CoRR abs/2409.02772 (2024) - [i11]Berker Demirel, Marco Fumero, Francesco Locatello:
Look Around and Find Out: OOD Detection with Relative Angles. CoRR abs/2410.04525 (2024) - 2023
- [c8]Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. Tiny Papers @ ICLR 2023 - [c7]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. ICLR 2023 - [c6]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS 2023 - [c5]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. NeurIPS 2023 - [c4]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. NeurIPS 2023 - [c3]Marco Fumero, Emanuele Rodolà, Clémentine Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron:
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. UniReps 2023: 1-10 - [e1]Marco Fumero, Emanuele Rodolà, Clémentine Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron:
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA. Proceedings of Machine Learning Research 243, PMLR 2023 [contents] - [i10]Irene Cannistraci
, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. CoRR abs/2303.00721 (2023) - [i9]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR abs/2304.07939 (2023) - [i8]Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà:
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. CoRR abs/2310.01211 (2023) - [i7]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. CoRR abs/2311.00664 (2023) - 2022
- [c2]Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan:
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CVPR 2022: 18582-18592 - [i6]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. CoRR abs/2209.15430 (2022) - [i5]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training. CoRR abs/2210.01738 (2022) - 2021
- [c1]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. ICML 2021: 3530-3540 - [i4]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. CoRR abs/2103.01638 (2021) - [i3]Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero:
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CoRR abs/2110.02624 (2021) - [i2]Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR abs/2110.05313 (2021) - 2020
- [j2]Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà:
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39(5): 103-118 (2020) - [j1]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear spectral geometry processing via the TV transform. ACM Trans. Graph. 39(6): 199:1-199:16 (2020) - [i1]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear Spectral Geometry Processing via the TV Transform. CoRR abs/2009.03044 (2020)
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