Francesco Tudisco

Presenting Our Work at ICLR 2025

I’m excited to share that our research group is presenting two papers this week at the International Conference on Learning Representations (ICLR) in Singapore!

Emanuele Zangrando is attending the conference in person to present our latest work on efficient low-rank fine-tuning techniques for deep neural networks. If you’re at ICLR, come visit us during the poster sessions and let’s talk shop!

Poster Sessions:

  1. GeoLoRA: Geometric integration for parameter-efficient fine-tuning
    πŸ“ Friday – Hall 3 + Hall 2B, Poster #457
    πŸ”— Read the paper

  2. dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
    πŸ“ Saturday – Hall 3 + Hall 2B, Poster #426
    πŸ”— Read the paper

A big thank you to all my fantastic collaborators:
Emanuele Zangrando, Steffen Schotthoefer, Jonas Kusch, Gianluca Ceruti, Sara Venturini, and Francesco Rinaldi.

Looking forward to engaging conversations and feedback from the community!