Pubblicazioni

C2M3: Cycle-Consistent Multi-Model Merging

2024 - Advances in Neural Information Processing Systems
Crisostomi, Donato; Fumero, Marco; Baieri, Daniele; Bernard, Florian; Rodola, Emanuele

Unsupervised Hierarchy-Agnostic Segmentation: Parsing Semantic Image Structure

2024 - Advances in Neural Information Processing Systems
Rossetti, Simone; Pirri, Fiora

Latent Space Translation via Semantic Alignment

2023 - Advances in Neural Information Processing Systems
Maiorca, Valentino; Moschella, Luca; Norelli, Antonio; Fumero, Marco; Locatello, Francesco; Rodola', Emanuele

Towards a fuller understanding of neurons with Clustered Compositional Explanations

2023 - Advances in Neural Information Processing Systems
LA ROSA, Biagio; Gilpin, Leilani H.; Capobianco, Roberto

Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points

2023 - Advances in Neural Information Processing Systems
DELLE ROSE, Valentino; Kozachinskiy, Alexander; Rojas, Cristobal; Petrache, MIRCEA ALEXANDRU; Barceló, Pablo

Provably Efficient Offline Reinforcement Learning in Regular Decision Processes

2023 - Advances in Neural Information Processing Systems
Cipollone, R.; Ronca, A.; Jonsson, A.; Talebi, M. S.

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training

2023 - Advances in Neural Information Processing Systems
Norelli, A.; Fumero, M.; Maiorca, V.; Moschella, L.; Rodola, E.; Locatello, F.

Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching

2022 - Advances in Neural Information Processing Systems
Sundararaman, Ramana; Marin, Riccardo; Rodola', Emanuele; Ovsjanikov, Maks

Learning on the Edge: Online Learning with Stochastic Feedback Graphs

2022 - Advances in Neural Information Processing Systems
Esposito, E.; van der Hoeven, D.; Fusco, F.; Cesa-Bianchi, N.

Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

2022 - Advances in Neural Information Processing Systems
Amanatidis, G.; Birmpas, G.; Filos-Ratsikas, A.; Voudouris, A. A.

A universal error measure for input predictions applied to online graph problems

2022 - Advances in Neural Information Processing Systems
Iulia, Bernardini; Alexander, Lindermayr; MARCHETTI SPACCAMELA, Alberto; Nicole, Megow; Leen, Stougie; Michelle, Sweering

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

2022 - Advances in Neural Information Processing Systems
Bodnar, C.; Di Giovanni, F.; Chamberlain, B. P.; Lio, P.; Bronstein, M.

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off

2022 - Advances in Neural Information Processing Systems
Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M.

Composite Feature Selection Using Deep Ensembles

2022 - Advances in Neural Information Processing Systems
Imrie, F.; Norcliffe, A.; Lio, P.; van der Schaar, M.

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks

2022 - Advances in Neural Information Processing Systems
Buffelli, D.; Lio, P.; Vandin, F.

Online Facility Location with Multiple Advice

2021 - Advances in Neural Information Processing Systems
Almanza, Matteo; Chierichetti, Flavio; Lattanzi, Silvio; Panconesi, Alessandro; Re, Giuseppe

Beyond Bandit Feedback in Online Multiclass Classification

2021 - Advances in Neural Information Processing Systems
van der Hoeven, D.; Fusco, F.; Cesa-Bianchi, N.

Weisfeiler and Lehman Go Cellular: CW Networks

2021 - Advances in Neural Information Processing Systems
Bodnar, C.; Frasca, F.; Otter, N.; Wang, Y. G.; Lio, P.; Montufar, G.; Bronstein, M.

Correspondence Learning via Linearly-invariant Embedding

2020 - Advances in Neural Information Processing Systems
Marin, Riccardo; Rakotosaona, Marie-Julie; Melzi, Simone; Ovsjanikov, Maks

Constraining variational inference with geometric Jensen-Shannon divergence

2020 - Advances in Neural Information Processing Systems
Deasy, J.; Simidjievski, N.; Lio, P.

Path integral based convolution and pooling for graph neural networks

2020 - Advances in Neural Information Processing Systems
Ma, Z.; Xuan, J.; Wang, Y. G.; Li, M.; Lio, P.

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

2019 - Advances in Neural Information Processing Systems
Beliy, R; Gaziv, G; Hoogi, A; Strappini, F; Golan, T; Irani, M

Fair Clustering Through Fairlets

2017 - Advances in Neural Information Processing Systems
Chierichetti, Flavio; Kumar, Ravi; Lattanzi, Silvio; Vassilvitskii, Sergei

Learning shape correspondence with anisotropic convolutional neural networks

2016 - Advances in Neural Information Processing Systems
Boscaini, Davide; Masci, Jonathan; Rodolà, Emanuele; Bronstein, Michael

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma