Irene Cannistraci

Irene Cannistraci

Postdoctoral Researcher and Lecturer @ ETH Zurich

Postdoctoral Researcher and Lecturer at ETH Zurich in the Institute of Machine Learning, working on representation learning, multimodal machine learning, foundation models, efficiency and post-training. I received my PhD with honors in 2025, and one of my works has been recognized with an ICLR 2024 Spotlight (top 5%).

I am also an ELLIS member, co-organizer of the UniReps workshop series at NeurIPS and the ELLISxUniReps speaker series, and the co-leader of CSNOW, Computer Science Network of Women at ETH.

Feel free to reach out at irene.cannistraci[at]inf.ethz.ch. Find my full CV here.

Latest News & Updates

Apr 2026
publication

TOAST accepted AS-IS to TMLR!

TOAST: Transformer Optimization using Adaptive and Simple Transformations has been accepted AS-IS in Transactions on Machine Learning Research (TMLR)!

Mar 2026
publication

Two papers accepted to TMLR!

Structure is Supervision: Multiview Masked Autoencoders for Radiology and You Only Train Once: Differentiable Subset Selection for Omics Data has been accepted in Transactions on Machine Learning Research (TMLR).

Mar 2026
publication

3 papers accepted at ICLR 2026 Workshops with an oral contribution!

From Leads to Latents (GRaM), Beyond Independent Frames (FM4Science), and Rethinking Machine Unlearning (TTU, Oral).

Dec 2025
organization

UniReps 2025 Workshop Co-Organizer and Panel Moderator

Co-organized and moderated the panel session of UniReps at NeurIPS2025 with Sara Hooker, Ahmad Beirami, and Meenakshi Khosla.

Nov 2025
award

ELLIS Member

Proud to announce my membership in the ELLIS Society, joining a community of leading European AI researchers!

Selected Publications

View all publications

TOAST: Transformer Optimization using Adaptive and Simple Transformations

Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas Sutter, Emanuele Rodolà, Bastian Rieck, Julia Vogt

TMLR 2026
View paper

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion

Sonia Laguna, Jorge da Silva Gonçalves, Moritz Vandenhirtz, Alain Ryser, Julia E Vogt*, Irene Cannistraci*

Under Review (*Equal senior authorship) 2026

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

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

ICLR 2024 2024 Spotlight · Top 5%
View paper

Bootstrapping Parallel Anchors for Relative Representations

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

ICLR 2023, Tiny Papers 2023
View paper

From Charts to Atlas: Merging Latent Spaces into One

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

NeurIPS 2023, NeurReps Workshop 2023
View paper