Thomas M. Sutter

Postdoc, Computer Science, ETH Zurich

Joined

September 2020

Names

Thomas M. Sutter (Preferred)

Thomas Marco Sutter

Emails

****@me.com (Confirmed)

****@inf.ethz.ch (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

Computer Science, ETH Zurich (ethz.ch)

2023 – Present

PhD student

ETH Zurich (ethz.ch)

2019 – 2023

PhD student

University of Basel (unibas.ch)

2018 – 2019

Advisors, Relations & Conflicts

Postdoc Advisor

Stephan Mandt

2023 – 2024

PhD Advisor

Julia E. Vogt

2018 – 2023

Expertise

Multimodal Learning

MAE

representation learning

generative learning

VAE

2018 – 2025

Publications

Foundation Model for Cardiac Time Series via Masked Latent Attention
Moritz Vandenhirtz, Samuel Ruiperez-Campillo, Sonia Laguna, Simon Böhi, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
From Leads to Latents: Attention-Driven Masked Autoencoder for ECG Time Series
Samuel Ruiperez-Campillo, Moritz Vandenhirtz, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop GRaM Poster
- Readers: Everyone
From Leads to Latents: Attention-Driven Masked Autoencoder for ECG Time Series
Moritz Vandenhirtz, Samuel Ruiperez-Campillo, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Re-Align Workshop
- Readers: Everyone
Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
Simon Böhi, Irene Cannistraci, Sergio Muñoz Gonzalez, Moritz Vandenhirtz, Sonia Laguna, Samuel Ruiperez-Campillo, Max Krähenmann, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E Vogt
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
TOAST: Transformer Optimization using Adaptive and Simple Transformations
Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas M. Sutter, Emanuele Rodolà, Bastian Rieck, Julia E Vogt
- Accepted by TMLR
- Readers: Everyone
You Only Train Once: Differentiable Subset Selection for Omics Data
Daphné Chopard, Jorge da Silva Gonçalves, Irene Cannistraci, Thomas M. Sutter, Julia E Vogt
- Accepted by TMLR
- Readers: Everyone
RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning
Benjamin Gundersen, Nicolas Deperrois, Samuel Ruiperez-Campillo, Thomas M. Sutter, Julia E Vogt, Michael Moor, Farhad Nooralahzadeh, Michael Krauthammer
- MIDL 2026 Poster
- Readers: Everyone
Structure is Supervision: Multiview Masked Autoencoders for Radiology
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruiperez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E Vogt
- Accepted by TMLR
- Readers: Everyone
TOAST : Transformer Optimization using Adaptive and Simple Transformations
Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas M. Sutter, Emanuele Rodolà, Bastian Rieck, Julia E Vogt
- Submitted to ICLR 2026
- Readers: Everyone
Foundation Models on a Budget: Approximating Blocks in Large Vision Models
Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas M. Sutter, Emanuele Rodolà, Bastian Rieck, Julia E Vogt
- WiML @ NeurIPS 2025
- Readers: Everyone

View all 43 publications

Co-Authors

View all 42 co-authors