Alain Ryser

25 papers A* 5Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders.
Expert Syst. Appl.
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Brototo Deb, Ruibin Feng, Prasanth Ganesan, Kelly A. Brennan, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2026 J jnl
Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.
CoRR
Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt
2026 J jnl
Structure is Supervision: Multiview Masked Autoencoders for Radiology.
Trans. Mach. Learn. Res.
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruipérez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 J jnl
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy.
CoRR
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maxime Pedron, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2025 A* conf
From Logits to Hierarchies: Hierarchical Clustering made Simple.
ICML
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt
2025 J jnl
From Pixels to Components: Eigenvector Masking for Visual Representation Learning.
CoRR
Alice Bizeul, Thomas M. Sutter, Alain Ryser, Bernhard Schölkopf, Julius von Kügelgen, Julia E. Vogt
2025 J jnl
Leveraging the Structure of Medical Data for Improved Representation Learning.
CoRR
Andrea Agostini, Sonia Laguna, Alain Ryser, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 J jnl
RadVLM: A Multitask Conversational Vision-Language Model for Radiology.
CoRR
Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Sonia Laguna, Alain Ryser, Koji Fujimoto, Mizuho Nishio, Thomas M. Sutter, Julia E. Vogt, Jonas Kluckert, Thomas Frauenfelder, Christian Blüthgen, Farhad Nooralahzadeh, Michael Krauthammer
2025 J jnl
Structure is Supervision: Multiview Masked Autoencoders for Radiology.
CoRR
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruipérez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 J jnl
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection.
Trans. Mach. Learn. Res.
Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E. Vogt
2024 J jnl
Anomaly Detection by Context Contrasting.
CoRR
Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E. Vogt
2024 — conf
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy.
EMBC
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maarten Z. Kolk, Fleur V. Y. Tjong, Albert J. Rogers, Sanjiv M. Narayan, Julia E. Vogt
2024 J jnl
From Logits to Hierarchies: Hierarchical Clustering made Simple.
CoRR
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt
2024 — conf
Transfer Learning for Pediatric Glucose Forecasting.
ML4H@NeurIPS
Alain Ryser, Chuhao Feng, Tobias Scheithauer, Marc Pfister, Marie-Anne Burckhardt, Sara Bachmann, Alexander Marx, Julia E. Vogt
2023 A* conf
Differentiable Random Partition Models.
NeurIPS
Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt
2023 J jnl
Differentiable Random Partition Models.
CoRR
Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt
2023 A* conf
Learning Group Importance using the Differentiable Hypergeometric Distribution.
ICLR
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
2023 A* conf
Tree Variational Autoencoders.
NeurIPS
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
2023 J jnl
Tree Variational Autoencoders.
CoRR
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
2022 — conf
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
MLHC
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2022 J jnl
Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution.
CoRR
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
2022 J jnl
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
CoRR
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2020 — conf
Latency-Aware Industrial Fog Application Orchestration with Kubernetes.
FMEC
Raphael Eidenbenz, Yvonne-Anne Pignolet, Alain Ryser
2019 A* conf
High Dimensional Clustering with r-nets.
AAAI
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer
2018 J jnl
High Dimensional Clustering with r-nets.
CoRR
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer