| Learning Extremal Representations with Deep Archetypal Analysis SM Keller, M Samarin, F Arend Torres, M Wieser, V Roth International Journal of Computer Vision (IJCV) 129 (4), 805-820, 2021 | 25 | 2021 |
| Deep Archetypal Analysis SM Keller, M Samarin, M Wieser, V Roth Pattern Recognition. DAGM GCPR 2019. LNCS 11824, 171-185, 2019 | 22 | 2019 |
| Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network M Samarin, L Zweifel, V Roth, C Alewell Remote Sensing 12 (24), 4149, 2020 | 14 | 2020 |
| Investigating Causal Factors of Shallow Landslides in Grassland Regions of Switzerland L Zweifel, M Samarin, K Meusburger, C Alewell Natural Hazards and Earth System Sciences (NHESS) 21 (11), 3421-3437, 2021 | 10 | 2021 |
| Feature Learning and Random Features in Standard Finite-Width Convolutional Neural Networks: An Empirical Study M Samarin, V Roth, D Belius The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022 | 7* | 2022 |
| Learning Invariances with Generalised Input-Convex Neural Networks V Nesterov, FA Torres, M Nagy-Huber, M Samarin, V Roth arXiv preprint arXiv:2204.07009, 2022 | 4 | 2022 |
| Learning Conditional Invariance Through Cycle Consistency M Samarin, V Nesterov, M Wieser, A Wieczorek, S Parbhoo, V Roth Pattern Recognition. DAGM GCPR 2021. LNCS 13024, 376-391, 2021 | 3 | 2021 |
| Identification of Soil Erosion in Alpine Grasslands on High-Resolution Aerial Images: Switching from Object-based Image Analysis to Deep Learning? L Zweifel, M Samarin, K Meusburger, V Roth, C Alewell EGU2020, 2020 | 3 | 2020 |
| Mesh-free eulerian physics-informed neural networks FA Torres, MM Negri, M Nagy-Huber, M Samarin, V Roth arXiv preprint arXiv:2206.01545, 2022 | 1 | 2022 |
| Identifying Soil Degradation in Swiss Alpine Grasslands using Different Machine Learning Approaches L Zweifel, M Samarin, K Meusburger, C Alewell Geophysical Research Abstracts 21, 2019 | 1 | 2019 |
| Computational EEG in Personalized Medicine: A Study in Parkinson's Disease SM Keller, M Samarin, A Meyer, V Kosak, U Gschwandtner, P Fuhr, ... arXiv preprint arXiv:1812.06594, 2018 | 1 | 2018 |
| Machine Learning for Multivariate Downscaling: A Generative Model Inspired by Forecast Evaluation M Schillinger, X Shen, M Samarin, N Meinshausen EGU24, 2024 | | 2024 |
| Mesh-free Eulerian Physics-Informed Neural Networks F Arend Torres, M Massimo Negri, M Nagy-Huber, M Samarin, V Roth arXiv e-prints, arXiv: 2206.01545, 2022 | | 2022 |
| Machine Learning for Informed Representation Learning M Samarin University of Basel, 2022 | | 2022 |
| Segmentation of Soil Degradation Sites in Swiss Alpine Grasslands with Deep Learning M Samarin, L Zweifel, C Alewell, V Roth NeurIPS 2020 Workshop on AI for Earth Sciences, 2020 | | 2020 |
| Visual Understanding in Semantic Segmentation of Soil Erosion Sites in Swiss Alpine Grasslands M Samarin, M Nagy-Huber, L Zweifel, K Meusburger, C Alewell, V Roth EGU General Assembly Conference Abstracts, 17346, 2020 | | 2020 |
| Object Segmentation for Identification of Soil Erosion Sites in Swiss Alpine Grasslands with Neural Networks. M Samarin, V Roth Geophysical Research Abstracts 21, 2019 | | 2019 |
Volker RothProfessor of Computer Science, University of BaselVerified email at unibas.ch
