| Fabrication of microlens arrays with high quality and high fill factor by inkjet printing Q Zhang, M Schambach, S Schlisske, Q Jin, A Mertens, C Rainer, ... Advanced Optical Materials 10 (14), 2200677, 2022 | 36 | 2022 |
| Microlens array grid estimation, light field decoding, and calibration M Schambach, FP León IEEE transactions on computational imaging 6, 591-603, 2020 | 15 | 2020 |
| A multispectral light field dataset and framework for light field deep learning M Schambach, M Heizmann IEEE access 8, 193492-193502, 2020 | 13 | 2020 |
| The Proca field in curved spacetimes and its zero mass limit M Schambach, K Sanders Reports on Mathematical Physics 82 (2), 203-239, 2018 | 11 | 2018 |
| Explainability and interpretability in electric load forecasting using machine learning techniques–A review L Baur, K Ditschuneit, M Schambach, C Kaymakci, T Wollmann, A Sauer Energy and AI, 100358, 2024 | 9 | 2024 |
| A simulation framework for the design and evaluation of computational cameras T Nürnberg, M Schambach, D Uhlig, M Heizmann, FP León Automated Visual Inspection and Machine Vision III 11061, 1106102, 2019 | 9 | 2019 |
| Reconstruction from spatio-spectrally coded multispectral light fields M Schambach KIT Scientific Publishing, 2022 | 5 | 2022 |
| Spectral reconstruction and disparity from spatio-spectrally coded light fields via multi-task deep learning M Schambach, J Shi, M Heizmann 2021 International Conference on 3D Vision (3DV), 186-196, 2021 | 5 | 2021 |
| Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation A Koenig, M Schambach, J Otterbach Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Automated quality assessment of inkjet-printed microlens arrays M Schambach, Q Zhang, U Lemmer, M Heizmann tm-Technisches Messen 88 (6), 342-351, 2021 | 3 | 2021 |
| A Multispectral Light Field Dataset for Light Field Deep Learning M Schambach, M Heizmann | 3 | 2020 |
| Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models J Siems, K Ditschuneit, W Ripken, A Lindborg, M Schambach, J Otterbach, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Scaling Experiments in Self-Supervised Cross-Table Representation Learning M Schambach, D Paul, JS Otterbach NeurIPS Table Representation Learning Workshop 2023, 2023 | 2 | 2023 |
| Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization O Kondrateva, S Dietzel, M Schambach, J Otterbach, B Scheuermann 2023 IFIP Networking Conference (IFIP Networking), 1-9, 2023 | 2 | 2023 |
| Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models J Siems, K Ditschuneit, W Ripken, A Lindborg, M Schambach, J Otterbach, ... ICML 3rd Workshop on Interpretable Machine Learning in Healthcare 2023, 2023 | 2 | 2023 |
| Improving light efficiency in multispectral imaging via complementary notch filters T Panther, M Schambach, M Heizmann Automated Visual Inspection and Machine Vision IV 11787, 133-145, 2021 | 2 | 2021 |
| Compact multispectral light field camera based on an inkjet-printed microlens array and color filter array Q Zhang, M Schambach, Q Jin, M Heizmann, U Lemmer Optics Express 32 (13), 23510-23523, 2024 | 1 | 2024 |
| Algorithms for microlens center detection M Schambach, FP León KIT Scientific Publishing, 2018 | 1 | 2018 |
| Quantization of the Proca field in curved spacetimes-A study of mass dependence and the zero mass limit M Schambach arXiv preprint arXiv:1709.00225, 2017 | 1 | 2017 |
| Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications O Kondrateva, S Dietzel, M Schambach, J Otterbach, B Scheuermann Computer Communications 225, 185-194, 2024 | | 2024 |
Uli LemmerProfessor of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology在 kit.edu 的电子邮件经过验证
