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Maximilian Schambach
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2020 – today
- 2024
- [j3]Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann:
Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications. Comput. Commun. 225: 185-194 (2024) - 2023
- [c5]Alexander Koenig, Maximilian Schambach
, Johannes S. Otterbach:
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CVPR Workshops 2023: 3789-3798 - [c4]Olga Kondrateva, Stefan Dietzel, Maximilian Schambach
Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization. IFIP Networking 2023: 1-9 - [c3]Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel:
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. NeurIPS 2023 - [i6]Julien Siems, Maximilian Schambach
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management. CoRR abs/2303.10382 (2023) - [i5]Alexander Koenig, Maximilian Schambach
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CoRR abs/2304.07314 (2023) - [i4]Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. CoRR abs/2305.11475 (2023) - [i3]Maximilian Schambach
Scaling Experiments in Self-Supervised Cross-Table Representation Learning. CoRR abs/2309.17339 (2023) - 2022
- [b1]Maximilian Schambach:
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields. Karlsruhe Institute of Technology, Germany, 2022 - [d2]Maximilian Schambach
A Multispectral Light Field Dataset for Light Field Deep Learning. IEEE DataPort, 2022 - [d1]Maximilian Schambach
Synthetic Whiteimages for the Lytro Illum Light Field Camera with Ground Truth Microlens Center Coordinates. IEEE DataPort, 2022 - 2021
- [c2]Maximilian Schambach
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. 3DV 2021: 186-196 - [i2]Maximilian Schambach, Jiayang Shi, Michael Heizmann:
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. CoRR abs/2103.10179 (2021) - 2020
- [j2]Maximilian Schambach
A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. IEEE Access 8: 193492-193502 (2020) - [j1]Maximilian Schambach
Microlens Array Grid Estimation, Light Field Decoding, and Calibration. IEEE Trans. Computational Imaging 6: 591-603 (2020) - [c1]Matthias Bächle
Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions. EUSIPCO 2020: 2230-2234
2010 – 2019
- 2019
- [i1]Maximilian Schambach, Fernando Puente León:
Microlens array grid estimation, light field decoding, and calibration. CoRR abs/1912.13298 (2019)
Coauthor Index
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