Maximilian Schambach

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Densely Sampled

Top Venues

IFIP Networking

IEEE Trans. Computational Imaging

Comput. Commun.

Publications

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 (2024)
Alexander Koenig, Maximilian Schambach, Johannes S. Otterbach
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CVPR Workshops (2023)
Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management. CoRR (2023)
Alexander Koenig, Maximilian Schambach, Johannes S. Otterbach
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CoRR (2023)
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. CoRR (2023)
Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann
Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization. IFIP Networking (2023)
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)
Maximilian Schambach, Dominique Paul, Johannes S. Otterbach
Scaling Experiments in Self-Supervised Cross-Table Representation Learning. CoRR (2023)
Maximilian Schambach, Jiayang Shi, Michael Heizmann
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. CoRR (2021)
Maximilian Schambach, Jiayang Shi, Michael Heizmann
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. 3DV (2021)
Maximilian Schambach, Fernando Puente León
Microlens Array Grid Estimation, Light Field Decoding, and Calibration. IEEE Trans. Computational Imaging 6 (2020)
Matthias Bächle, Maximilian Schambach, Fernando Puente León
Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions. EUSIPCO (2020)
Maximilian Schambach, Michael Heizmann
A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. IEEE Access 8 (2020)
Maximilian Schambach, Fernando Puente León
Microlens array grid estimation, light field decoding, and calibration. CoRR (2019)