Publications

2025

1. TMLR

   ResiDual Transformer Alignment with Spectral Decomposition

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

   TMLR, 2025

   arXiv Bib Code

   @article{maiorca2025residual,
     title = {ResiDual Transformer Alignment with Spectral Decomposition},
     author = {Basile*, Lorenzo and Maiorca*, Valentino and Bortolussi, Luca and Rodol{\`a}, Emanuele and Locatello, Francesco},
     journal = {TMLR},
     year = {2025},
     url = {https://openreview.net/forum?id=z37LCgSIzI},
   }

2. Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction

   Adriano Setti, Giorgio Bini, Valentino Maiorca, Flaminia Pellegrini, Gabriele Proietti, Dimitrios Miltiadis-Vrachnos, Alexandros Armaos, Julie Martone, and 3 more authors

   bioRxiv, 2025

2024

1. ICLR

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

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

   ICLR; top 5% (spotlight), 2024

   arXiv Bib Code

   @article{cannistraci2024bricks,
     title = {From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication},
     author = {Cannistraci, Irene and Moschella*, Luca and Fumero*, Marco and Maiorca, Valentino and Rodol{\`a}, Emanuele},
     journal = {ICLR; top 5\% (spotlight)},
     year = {2024},
     url = {https://openreview.net/forum?id=vngVydDWft},
   }

2. ArXiv

   Scalable unsupervised alignment of general metric and non-metric structures

   Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, and Alex Bronstein

   In ICML AI4Science Workshop, 2024

   arXiv Bib

   @inproceedings{vedula2024scalable,
     title = {Scalable unsupervised alignment of general metric and non-metric structures},
     author = {Vedula, Sanketh and Maiorca, Valentino and Basile, Lorenzo and Locatello, Francesco and Bronstein, Alex},
     booktitle = {ICML AI4Science Workshop},
     year = {2024},
     url = {https://arxiv.org/abs/2406.13507},
   }

3. ArXiv

   Latent Space Translation via Inverse Relative Projection

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

   arXiv preprint arXiv:2406.15057, 2024

   arXiv Bib

   @article{maiorca2024latent,
     title = {Latent Space Translation via Inverse Relative Projection},
     author = {Maiorca*, Valentino and Moschella*, Luca and Fumero, Marco and Locatello, Francesco and Rodol{\`a}, Emanuele},
     journal = {arXiv preprint arXiv:2406.15057},
     year = {2024},
     url = {https://arxiv.org/abs/2406.15057},
   }

4. It’s All Relative: Relative Uncertainty in Latent Spaces using Relative Representations

   Fabian Mager, Valentino Maiorca, and Lars Kai Hansen

   In NeurIPS UniReps Workshop, 2024
5. Latent Communication for Zero-shot Stitching in Reinforcement Learning

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

   In Seventeenth European Workshop on Reinforcement Learning, 2024
6. NeurIPS

   Latent Functional Maps: a spectral framework for representation alignment

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

   In NeurIPS, 2024

   Bib Code

   @inproceedings{fumero2024latent,
     title = {Latent Functional Maps: a spectral framework for representation alignment},
     author = {Fumero*, Marco and Pegoraro*, Marco and Maiorca, Valentino and Locatello, Francesco and Rodol{\`a}, Emanuele},
     booktitle = {NeurIPS},
     year = {2024},
   }

7. COSYNE

   Multi-subject neural decoding via relative representations

   Valentino Maiorca, Simone Azeglio, Marco Fumero, Clémentine Dominé, Emanuele Rodolà, and Francesco Locatello

   In COSYNE, 2024

2023

1. ICLR

   Relative representations enable zero-shot latent space communication

   Luca Moschella*, Valentino Maiorca*, Marco Fumero, Antonio Norelli, Francesco Locatello, and Emanuele Rodola

   In ICLR; top 5% (oral), 2023

   arXiv Bib Code

   @inproceedings{maiorca2023relative,
     title = {Relative representations enable zero-shot latent space communication},
     author = {Moschella*, Luca and Maiorca*, Valentino and Fumero, Marco and Norelli, Antonio and Locatello, Francesco and Rodola, Emanuele},
     booktitle = {ICLR; top 5\% (oral)},
     year = {2023},
   }

2. NeurIPS

   Asif: Coupled data turns unimodal models to multimodal without training

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

   In NeurIPS, 2023

   arXiv Bib Code

   @inproceedings{norelli2023asif,
     title = {Asif: Coupled data turns unimodal models to multimodal without training},
     author = {Norelli, Antonio and Fumero, Marco and Maiorca, Valentino and Moschella, Luca and Rodola, Emanuele and Locatello, Francesco},
     booktitle = {NeurIPS},
     year = {2023},
     url = {https://openreview.net/forum?id=XjOj3ZmWEl},
   }

3. NeurIPS

   Latent Space Translation via Semantic Alignment

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

   In NeurIPS, 2023

   arXiv Bib

   @inproceedings{maiorca2023latent,
     title = {Latent Space Translation via Semantic Alignment},
     author = {Maiorca*, Valentino and Moschella*, Luca and Norelli, Antonio and Fumero, Marco and Locatello, Francesco and Rodol{\`a}, Emanuele},
     booktitle = {NeurIPS},
     year = {2023},
   }

4. Sparse vicious attacks on graph neural networks

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

   IEEE Transactions on Artificial Intelligence, 2023

   Bib Code

   @article{trappolini2023sparse,
     title = {Sparse vicious attacks on graph neural networks},
     author = {Trappolini, Giovanni and Maiorca, Valentino and Severino, Silvio and Rodol{\`a}, Emanuele and Silvestri, Fabrizio and Tolomei, Gabriele},
     journal = {IEEE Transactions on Artificial Intelligence},
     year = {2023},
     publisher = {IEEE},
   }

5. Bootstrapping Parallel Anchors for Relative Representations

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

   arXiv preprint arXiv:2303.00721, 2023

   arXiv Bib Code

   @article{cannistraci2023bootstrapping,
     title = {Bootstrapping Parallel Anchors for Relative Representations},
     author = {Cannistraci, Irene and Moschella, Luca and Maiorca, Valentino and Fumero, Marco and Norelli, Antonio and Rodol{\`a}, Emanuele},
     journal = {arXiv preprint arXiv:2303.00721},
     year = {2023},
   }

6. Attention-likelihood relationship in transformers

   Valeria Ruscio, Valentino Maiorca, and Fabrizio Silvestri

   ICLR Tiny Papers Track, 2023

   Bib Code

   @article{ruscio2023attention,
     title = {Attention-likelihood relationship in transformers},
     author = {Ruscio, Valeria and Maiorca, Valentino and Silvestri, Fabrizio},
     journal = {ICLR Tiny Papers Track},
     year = {2023},
   }

7. ACL

   Accelerating transformer inference for translation via parallel decoding

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

   ACL, 2023

   Bib Code

   @article{santilli2023accelerating,
     title = {Accelerating transformer inference for translation via parallel decoding},
     author = {Santilli, Andrea and Severino, Silvio and Postolache, Emilian and Maiorca, Valentino and Mancusi, Michele and Marin, Riccardo and Rodol{\`a}, Emanuele},
     journal = {ACL},
     year = {2023},
   }

8. Infusing invariances in neural representations

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

   In ICML TAG-ML Workshop, 2023

   Code

2022

1. LoG

   Metric based few-shot graph classification

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

   In Learning on Graphs Conference (LoG), 2022

   Bib Code

   @inproceedings{crisostomi2022metric,
     title = {Metric based few-shot graph classification},
     author = {Crisostomi, Donato and Antonelli, Simone and Maiorca, Valentino and Moschella, Luca and Marin, Riccardo and Rodol{\`a}, Emanuele},
     booktitle = {Learning on Graphs Conference (LoG)},
     year = {2022},
     organization = {PMLR},
   }

2021

1. EMNLP

   WikiNEuRal: Combined neural and knowledge-based silver data creation for multilingual NER

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

   In EMNLP, 2021

   Bib Code

   @inproceedings{tedeschi2021wikineural,
     title = {WikiNEuRal: Combined neural and knowledge-based silver data creation for multilingual NER},
     author = {Tedeschi, Simone and Maiorca, Valentino and Campolungo, Niccol{\`o} and Cecconi, Francesco and Navigli, Roberto},
     booktitle = {EMNLP},
     year = {2021},
   }