Valentino Maiorca

I’m interested in how the semantics of data shape the latent geometry of neural networks and enable information transfer between them.

I study how to act on this shared geometry, from aligning representational spaces to steering them toward task-relevant properties. The goal is to understand better what models learn and how to control, transfer, or repurpose that knowledge.

I’m always open to collaborations, discussions, and new ideas, so feel free to contact me!

Full CV available here.

Selected Publications

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},
}

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},
}

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},
}

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},
}

COSYNE

Multi-subject neural decoding via relative representations

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

In COSYNE, 2024