Valentino Maiorca

According to our database, Valentino Maiorca authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

HyperTransport: Amortized Conditioning of T2I Generative Models.

Valentino Maiorca, Eleonora Gualdoni, Xavier Suau, Marco Cuturi, Luca Zappella, Pau Rodríguez

CoRR, May, 2026

2025

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching.

Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

CoRR, March, 2025

ResiDual Transformer Alignment with Spectral Decomposition.

Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello

Trans. Mach. Learn. Res., 2025

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss.

Pau Rodríguez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Head Pursuit: Probing Attention Specialization in Multimodal Transformers.

Lorenzo Basile, Valentino Maiorca, Diego Doimo, Francesco Locatello, Alberto Cazzaniga

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Sparse Vicious Attacks on Graph Neural Networks.

Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei

IEEE Trans. Artif. Intell., May, 2024

Latent Space Translation via Inverse Relative Projection.

Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà

CoRR, 2024

Latent Functional Maps.

Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà

CoRR, 2024

Scalable unsupervised alignment of general metric and non-metric structures.

Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein

CoRR, 2024

Zero-Shot Stitching in Reinforcement Learning using Relative Representations.

Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

CoRR, 2024

Latent Functional Maps: a spectral framework for representation alignment.

Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.

Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Space Translation via Semantic Alignment.

Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Attention-likelihood relationship in Transformers.

Valeria Ruscio, Valentino Maiorca, Fabrizio Silvestri

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Relative representations enable zero-shot latent space communication.

Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.

Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Accelerating Transformer Inference for Translation via Parallel Decoding.

Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Metric Based Few-Shot Graph Classification.

Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

Proceedings of the Learning on Graphs Conference, 2022

2021

WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER.

Simone Tedeschi, Valentino Maiorca, Niccolò Campolungo, Francesco Cecconi, Roberto Navigli

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021