Sutter, Thomas M.

13 publications

ICLRW 2025 Predicting Pulmonary Hypertension in Newborns: A Multi-View VAE Approach Lucas Erlacher, Samuel Ruiperez-Campillo, Holger Michel, Sven Wellmann, Thomas M. Sutter, Ece Ozkan, Julia E Vogt

TMLR 2025 Two Is Better than One: Aligned Representation Pairs for Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

NeurIPSW 2024 Learning Symmetric Contexts for Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

NeurIPSW 2024 Two Is Better than One: Aligned Clusters Improve Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

NeurIPS 2024 Unity by Diversity: Improved Representation Learning for Multimodal VAEs Thomas M. Sutter, Yang Meng, Andrea Agostini, Daphné Chopard, Norbert Fortin, Julia E. Vogt, Babak Shahbaba, Stephan Mandt

ICMLW 2023 Differentiable Set Partitioning Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E Vogt

ICLR 2023 Learning Group Importance Using the Differentiable Hypergeometric Distribution Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E Vogt

ICLRW 2023 Self-Supervised Learning to Predict Ejection Fraction Using Motion-Mode Images Yurong Hu, Thomas M. Sutter, Ece Ozkan, Julia E Vogt

ICMLW 2023 Uncovering Latent Structure Using Random Partition Models Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E Vogt

ICLRW 2022 Continuous Relaxation for the Multivariate Noncentral Hypergeometric Distribution Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E Vogt

ICLR 2022 On the Limitations of Multimodal VAEs Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E Vogt

ICLR 2021 Generalized Multimodal ELBO Thomas M. Sutter, Imant Daunhawer, Julia E Vogt

NeurIPSW 2021 On the Limitations of Multimodal VAEs Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E Vogt