| Microscopic theory for the light-induced anomalous Hall effect in graphene SA Sato, JW McIver, M Nuske, P Tang, G Jotzu, B Schulte, H Hübener, ... Physical Review B 99 (21), 214302, 2019 | 164 | 2019 |
| Floquet dynamics in light-driven solids M Nuske, L Broers, B Schulte, G Jotzu, SA Sato, A Cavalleri, A Rubio, ... Physical Review Research 2 (4), 043408, 2020 | 55 | 2020 |
| Observation of topological Bloch-state defects and their merging transition M Tarnowski, M Nuske, N Fläschner, B Rem, D Vogel, L Freystatzky, ... Physical review letters 118 (24), 240403, 2017 | 42 | 2017 |
| Orbital Many-Body Dynamics of Bosons in the Second Bloch Band of an Optical Lattice J Vargas, M Nuske, R Eichberger, C Hippler, L Mathey, A Hemmerich Physical Review Letters 126 (20), 200402, 2021 | 14 | 2021 |
| Common practices and taxonomy in deep multi-view fusion for remote sensing applications F Mena, D Arenas, M Nuske, A Dengel IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 13 | 2024 |
| Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models P Helber, B Bischke, P Habelitz, C Sanchez, D Pathak, M Miranda, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 10 | 2023 |
| Metastable order protected by destructive many-body interference M Nuske, J Vargas, M Hachmann, R Eichberger, L Mathey, A Hemmerich Physical Review Research 2 (4), 043210, 2020 | 10 | 2020 |
| Influence of data cleaning techniques on sub-field yield predictions C Sanchez, D Pathak, M Miranda, M Charfuelan, P Helber, M Nuske, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 6 | 2023 |
| Optimization of collisional Feshbach cooling of an ultracold nondegenerate gas M Nuske, E Tiesinga, L Mathey Physical Review A 91 (4), 043626, 2015 | 6 | 2015 |
| Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level D Pathak, M Miranda, F Mena, C Sanchez, P Helber, B Bischke, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 5 | 2023 |
| Q-seg: Quantum annealing-based unsupervised image segmentation SM Venkatesh, A Macaluso, M Nuske, M Klusch, A Dengel IEEE Computer Graphics and Applications, 2024 | 4 | 2024 |
| Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing H Najjar, P Helber, B Bischke, P Habelitz, C Sanchez, F Mena, M Miranda, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 4 | 2023 |
| A comparative assessment of multi-view fusion learning for crop classification F Mena, D Arenas, M Nuske, A Dengel IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 4 | 2023 |
| Qubit-efficient Variational Quantum Algorithms for Image Segmentation SM Venkatesh, A Macaluso, M Nuske, M Klusch, A Dengel arXiv preprint arXiv:2405.14405, 2024 | 3 | 2024 |
| Sudden-quench dynamics of Bardeen-Cooper-Schrieffer states in deep optical lattices M Nuske, L Mathey, E Tiesinga Physical Review A 94 (2), 023607, 2016 | 3 | 2016 |
| Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction F Mena, D Pathak, H Najjar, C Sanchez, P Helber, B Bischke, P Habelitz, ... arXiv preprint arXiv:2401.11844, 2024 | 2 | 2024 |
| Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing H Najjar, M Miranda, M Nuske, R Roscher, A Dengel arXiv preprint arXiv:2407.08274, 2024 | 1 | 2024 |
| Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications F Mena, D Arenas, M Charfuelan, M Nuske, A Dengel arXiv preprint arXiv:2403.14297, 2024 | 1 | 2024 |
| Inter-Region Transfer Learning for Land Use Land Cover Classification J Siddamsetty, M Stricker, M Charfuelan, M Nuske, A Dengel ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2023 | 1 | 2023 |
| On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches K Iselborn, M Stricker, T Miyamoto, M Nuske, A Dengel arXiv preprint arXiv:2303.00691, 2023 | 1 | 2023 |
