Clip-forge: Towards zero-shot text-to-shape generation A Sanghi, H Chu, JG Lambourne, Y Wang, CY Cheng, M Fumero, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282 2022 Relative representations enable zero-shot latent space communication L Moschella, V Maiorca, M Fumero, A Norelli, F Locatello, E Rodolà
Proc. of The Eleventh International Conference on Learning Representations …, 2022
80 2022 Asif: Coupled data turns unimodal models to multimodal without training A Norelli, M Fumero, V Maiorca, L Moschella, E Rodola, F Locatello
Advances in Neural Information Processing Systems 36, 15303-15319, 2023
25 2023 Learning disentangled representations via product manifold projection M Fumero, L Cosmo, S Melzi, E Rodolà
Proceedings of the 38th International Conference on Machine Learning, PMLR …, 2021
25 2021 Leveraging sparse and shared feature activations for disentangled representation learning M Fumero, F Wenzel, L Zancato, A Achille, E Rodolà, S Soatto, ...
Advances in Neural Information Processing Systems 36, 27682-27698, 2023
14 2023 Nonlinear spectral geometry processing via the tv transform M Fumero, M Möller, E Rodolà
ACM Transactions on Graphics (TOG) 39 (6), 1-16, 2020
14 2020 Latent space translation via semantic alignment V Maiorca, L Moschella, A Norelli, M Fumero, F Locatello, E Rodolà
Advances in Neural Information Processing Systems 36, 2024
13 2024 From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication I Cannistraci, L Moschella, M Fumero, V Maiorca, E Rodolà
Proc. of The Twelfth International Conference on Learning Representations …, 2023
9 2023 A parametric analysis of discrete Hamiltonian functional maps E Postolache, M Fumero, L Cosmo, E Rodola
Computer Graphics Forum 39 (5), 103-118, 2020
8 2020 Certification of Gaussian Boson Sampling via graphs feature vectors and kernels T Giordani, V Mannucci, N Spagnolo, M Fumero, A Rampini, E Rodola, ...
Quantum Science and Technology 8 (1), 015005, 2022
6 2022 Unsupervised source separation via Bayesian inference in the latent domain M Mancusi, E Postolache, G Mariani, M Fumero, A Santilli, L Cosmo, ...
arXiv preprint arXiv:2110.05313, 2021
3 2021 D Crisostomi, M Fumero, D Baieri, F Bernard, E Rodolà
arXiv preprint arXiv:2405.17897, 2024
2 2024 Infusing invariances in neural representations I Cannistraci, M Fumero, L Moschella, V Maiorca, E Rodolà
2 2023 Latent Functional Maps: a spectral framework for representation alignment M Fumero, M Pegoraro, V Maiorca, F Locatello, E Rodolà
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
2 * Latent Space Translation via Inverse Relative Projection V Maiorca, L Moschella, M Fumero, F Locatello, E Rodolà
arXiv preprint arXiv:2406.15057, 2024
1 2024 Bootstrapping Parallel Anchors for Relative Representations I Cannistraci, L Moschella, V Maiorca, M Fumero, A Norelli, E Rodolà
arXiv preprint arXiv:2303.00721, 2023
1 2023 Look Around and Find Out: OOD Detection with Relative Angles B Demirel, M Fumero, F Locatello
arXiv preprint arXiv:2410.04525, 2024
2024 Unifying Causal Representation Learning with the Invariance Principle D Yao, D Rancati, R Cadei, M Fumero, F Locatello
arXiv preprint arXiv:2409.02772, 2024
2024 Preface of UniReps: the First Workshop on Unifying Representations in Neural Models M Fumero, E Rodolá, C Domine, F Locatello, K Dziugaite, C Mathilde
Proceedings of UniReps: the First Workshop on Unifying Representations in …, 2024
2024 Neural style transfer in three-dimensional shapes H Shayani, M Fumero, A Sanghi
US Patent App. 18/149,601, 2023
2023 
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeEmail verificata su di.uniroma1.it
