| Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning I Daunhawer, S Kasser, G Koch, L Sieber, H Cakal, J Tütsch, M Pfister, ... Pediatric research 86 (1), 122-127, 2019 | 34 | 2019 |
| Pharmacometrics and machine learning partner to advance clinical data analysis G Koch, M Pfister, I Daunhawer, M Wilbaux, S Wellmann, JE Vogt Clinical Pharmacology & Therapeutics 107 (4), 926-933, 2020 | 23 | 2020 |
| Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence TM Sutter, I Daunhawer, JE Vogt Advances in Neural Information Processing Systems 33, 6100-6110, 2020 | 19 | 2020 |
| Generalized Multimodal ELBO TM Sutter, I Daunhawer, JE Vogt International Conference on Learning Representations, 2021 | 13 | 2021 |
| Self-supervised disentanglement of modality-specific and shared factors improves multimodal generative models I Daunhawer, TM Sutter, R Marcinkevičs, JE Vogt German Conference on Pattern Recognition, 459-473, 2020 | 8 | 2020 |
| Biases in the football betting market I Daunhawer, D Schoch, S Kosub SSRN, 2017 | 4 | 2017 |
| Machine learning used to compare the diagnostic accuracy of risk factors, clinical signs and biomarkers and to develop a new prediction model for neonatal early-onset sepsis M Stocker, I Daunhawer, W Van Herk, S El Helou, S Dutta, ... The Pediatric Infectious Disease Journal 41 (3), 248-254, 2021 | 1 | 2021 |
| On the Limitations of Multimodal VAEs I Daunhawer, TM Sutter, K Chin-Cheong, E Palumbo, JE Vogt International Conference on Learning Representations, 2021 | 1 | 2021 |
| MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises E Palumbo, I Daunhawer, JE Vogt ICLR Workshop on Deep Generative Models for Highly Structured Data, 2022 | | 2022 |
| Decoupling State Representation Methods from Reinforcement Learning in Car Racing JM Montoya, I Daunhawer, JE Vogt, MA Wiering International Conference on Agents and Artificial Intelligence, 752-759, 2021 | | 2021 |
| PET-guided Attention Network for Segmentation of Lung Tumors from PET/CT images VK Pattisapu, I Daunhawer, T Weikert, A Sauter, B Stieltjes, JE Vogt German Conference on Pattern Recognition, 445-458, 2020 | | 2020 |
| Improving Multimodal Generative Models with Disentangled Latent Partitions I Daunhawer, TM Sutter, JE Vogt Bayesian Deep Learning workshop, NeurIPS 2019, 2019 | | 2019 |
| Evolutionary algorithms for the discovery of trading rules in high-frequency betting markets I Daunhawer University of Konstanz, 2018 | | 2018 |
Julia E VogtETH ZurichBestätigte E-Mail-Adresse bei inf.ethz.ch
