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Alain Ryser
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2020 – today
- 2025
[j1]Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E. Vogt:
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection. Trans. Mach. Learn. Res. 2025 (2025)
[i11]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:
RadVLM: A Multitask Conversational Vision-Language Model for Radiology. CoRR abs/2502.03333 (2025)
[i10]Alice Bizeul, Thomas M. Sutter, Alain Ryser, Bernhard Schölkopf, Julius von Kügelgen, Julia E. Vogt:
From Pixels to Components: Eigenvector Masking for Visual Representation Learning. CoRR abs/2502.06314 (2025)
[i9]Andrea Agostini, Sonia Laguna, Alain Ryser, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt:
Leveraging the Structure of Medical Data for Improved Representation Learning. CoRR abs/2507.02987 (2025)
[i8]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:
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy. CoRR abs/2507.14164 (2025)- 2024
[c8]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:
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy. EMBC 2024: 1-4
[c7]Alain Ryser, Chuhao Feng, Tobias Scheithauer, Marc Pfister, Marie-Anne Burckhardt, Sara Bachmann, Alexander Marx, Julia E. Vogt:
Transfer Learning for Pediatric Glucose Forecasting. ML4H@NeurIPS 2024: 839-860
[i7]Alain Ryser, Thomas M. Sutter, Alexander Marx
, Julia E. Vogt:
Anomaly Detection by Context Contrasting. CoRR abs/2405.18848 (2024)
[i6]Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt:
From Logits to Hierarchies: Hierarchical Clustering made Simple. CoRR abs/2410.07858 (2024)- 2023
[c6]Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt:
Learning Group Importance using the Differentiable Hypergeometric Distribution. ICLR 2023
[c5]Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt:
Tree Variational Autoencoders. NeurIPS 2023
[c4]Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt:
Differentiable Random Partition Models. NeurIPS 2023
[i5]Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt
:
Differentiable Random Partition Models. CoRR abs/2305.16841 (2023)
[i4]Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
:
Tree Variational Autoencoders. CoRR abs/2306.08984 (2023)- 2022
[c3]Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt:
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. MLHC 2022: 425-458
[i3]Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt:
Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution. CoRR abs/2203.01629 (2022)
[i2]Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
:
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. CoRR abs/2206.15316 (2022)- 2020
[c2]Raphael Eidenbenz
, Yvonne-Anne Pignolet, Alain Ryser:
Latency-Aware Industrial Fog Application Orchestration with Kubernetes. FMEC 2020: 164-171
2010 – 2019
- 2019
[c1]Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. AAAI 2019: 3207-3214- 2018
[i1]Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer:
High Dimensional Clustering with r-nets. CoRR abs/1811.02288 (2018)
Coauthor Index

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last updated on 2025-10-28 22:56 CET by the dblp team
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