| Latency-aware industrial fog application orchestration with kubernetes R Eidenbenz, YA Pignolet, A Ryser 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC …, 2020 | 30 | 2020 |
| Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke J Pohl, A Ryser, JM Veerbeek, G Verheyden, JE Vogt, AR Luft, ... Frontiers in Physiology 13, 952757, 2022 | 14 | 2022 |
| Tree variational autoencoders L Manduchi, M Vandenhirtz, A Ryser, J Vogt Advances in Neural Information Processing Systems 36, 54952-54986, 2023 | 13 | 2023 |
| Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke J Pohl, A Ryser, JM Veerbeek, G Verheyden, JE Vogt, AR Luft, ... Frontiers in Physiology 13, 933987, 2022 | 9 | 2022 |
| Learning group importance using the differentiable hypergeometric distribution TM Sutter, L Manduchi, A Ryser, JE Vogt arXiv preprint arXiv:2203.01629, 2022 | 8* | 2022 |
| Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models A Ryser, L Manduchi, F Laumer, H Michel, S Wellmann, JE Vogt Machine Learning for Healthcare Conference 182, 425-458, 2022 | 5* | 2022 |
| Differentiable random partition models T Sutter, A Ryser, J Liebeskind, J Vogt Advances in Neural Information Processing Systems 36, 47176-47215, 2023 | 3 | 2023 |
| High dimensional clustering with r-nets G Avarikioti, A Ryser, Y Wang, R Wattenhofer Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3207-3214, 2019 | 1 | 2019 |
| RadVLM: A Multitask Conversational Vision-Language Model for Radiology N Deperrois, H Matsuo, S Ruipérez-Campillo, M Vandenhirtz, S Laguna, ... arXiv preprint arXiv:2502.03333, 2025 | | 2025 |
| Transfer Learning for Pediatric Glucose Forecasting A Ryser, C Feng, T Scheithauer, M Pfister, MA Burckhardt, S Bachmann, ... Machine Learning for Health Symposium, 2024 | | 2024 |
| Learning Symmetric Contexts for Anomaly Detection A Ryser, TM Sutter, A Marx, JE Vogt NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations, 2024 | | 2024 |
| Two Is Better Than One: Aligned Clusters Improve Anomaly Detection A Ryser, TM Sutter, A Marx, JE Vogt NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, 2024 | | 2024 |
| AnomGait: Data-Driven Extraction of Movement Features Using Contrastive Learning A Böni, T Maffei, A Ryser, M Legrand, DK Ravi, M Branscheidt, JE Vogt, ... International Conference on NeuroRehabilitation, 515-518, 2024 | | 2024 |
| Towards AI-Driven Clinical Decision Support for Post-stroke Gait Rehabilitation A Böni, T Menard, A Ryser, M Legrand, DK Ravi, M Branscheidt, JE Vogt, ... International Conference on NeuroRehabilitation, 588-592, 2024 | | 2024 |
| From Logits to Hierarchies: Hierarchical Clustering made Simple E Palumbo, M Vandenhirtz, A Ryser, I Daunhawer, JE Vogt arXiv preprint arXiv:2410.07858, 2024 | | 2024 |
| Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy S Ruiperez-Campillo, A Ryser, TM Sutter, R Feng, P Ganesan, B Deb, ... 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Anomaly Detection by Context Contrasting A Ryser, TM Sutter, A Marx, JE Vogt arXiv preprint arXiv:2405.18848, 2024 | | 2024 |
| PO-01-097 USING GENERATIVE AI TO REDUCE NOISE IN ELECTROPHYSIOLOGICAL SIGNALS: OUTPERFORMING STATE-OF-THE-ART FILTERS S Ruiperez-Campillo, TM Sutter, A Ryser, R Feng, P Ganesan, K Brennan, ... Heart Rhythm 21 (5), S212-S213, 2024 | | 2024 |
| Estimating Patent Ductus Arteriosus from Pulse Wave Transition Time in Newborn Infants D Grabocka, A Ryser, S Wellman, M Holger, JE Vogt | | 2018 |
| COMPONENTS BEAT PATCHES: EIGENVECTOR MASKING FOR VISUAL REPRESENTATION LEARNING A Bizeul, TM Sutter, A Ryser, B Schölkopf, J von Kügelgen, JE Vogt | | |
Julia E VogtETH ZurichEmail verificata su inf.ethz.ch