Valentino Maiorca

I explore why similar latent representations emerge in different neural networks, both artificial and biological, and how we can leverage this understanding across various scientific fields and real-world applications.

I’m particularly fascinated by how data-intrinsic factors (its semantics) shape latent structures, and serves as a bridge for communication between their networks. By uncovering the mechanisms that give rise to this shared geometry, we can push beyond black-box models, building more interpretable, robust, and adaptable systems.

If you’re interested in these topics or would like to connect, feel free to reach out (e-mail works best)! I’m always open to collaborations, discussions, and new ideas.

Full CV available here.

Selected Publications

ArXiv

ResiDual Transformer Alignment with Spectral Decomposition

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

arXiv preprint, 2024

arXiv Bib

@article{maiorca2024residual,
  title = {ResiDual Transformer Alignment with Spectral Decomposition},
  author = {Maiorca*, Valentino and Basile*, Lorenzo and Bortolussi, Luca and Rodol{\`a}, Emanuele and Locatello, Francesco},
  journal = {arXiv preprint},
  year = {2024},
  url = {https://arxiv.org/abs/2411.00246},
}

ICLR

Relative representations enable zero-shot latent space communication

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

In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023

arXiv Bib Code

@inproceedings{relrep,
  author = {Moschella*, Luca and Maiorca*, Valentino and Fumero, Marco and Norelli, Antonio and Locatello, Francesco and Rodol{\`{a}}, Emanuele},
  title = {Relative representations enable zero-shot latent space communication},
  booktitle = {The Eleventh International Conference on Learning Representations,
                   {ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
  publisher = {OpenReview.net},
  year = {2023},
  url = {https://openreview.net/pdf?id=SrC-nwieGJ},
  timestamp = {Fri, 30 Jun 2023 14:55:52 +0200},
  biburl = {https://dblp.org/rec/conf/iclr/MoschellaMFNLR23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}

COSYNE

Multi-subject neural decoding via relative representations

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

In Cosyne Abstracts, 2024

NeurIPS

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training

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

In Thirty-seventh Conference on Neural Information Processing Systems, 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 Rodol{\`a}, Emanuele and Locatello, Francesco},
  booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
  year = {2023},
  url = {https://openreview.net/forum?id=XjOj3ZmWEl},
}

NeurIPS

Latent Space Translation via Semantic Alignment

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

In Thirty-seventh Conference on Neural Information Processing Systems, 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 = {Thirty-seventh Conference on Neural Information Processing Systems},
  year = {2023},
}

ICLR

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

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

In The Twelfth International Conference on Learning Representations, 2024

arXiv Bib

@inproceedings{cannistraci2024from,
  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},
  booktitle = {The Twelfth International Conference on Learning Representations},
  year = {2024},
  url = {https://openreview.net/forum?id=vngVydDWft},
}