Maximilian Schambach

According to our database, Maximilian Schambach authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval.

Günther Schindler, Maximilian Schambach, Michael Medek, Sam Thelin

CoRR, November, 2025

ConTextTab: A Semantics-Aware Tabular In-Context Learner.

Marco Spinaci, Marek Polewczyk, Maximilian Schambach, Sam Thelin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications.

Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann

Comput. Commun., 2024

2023

Scaling Experiments in Self-Supervised Cross-Table Representation Learning.

Maximilian Schambach, Dominique Paul, Johannes S. Otterbach

CoRR, 2023

Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.

Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach

CoRR, 2023

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models.

Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization.

Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann

Proceedings of the IFIP Networking Conference, 2023

Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation.

Alexander Koenig, Maximilian Schambach, Johannes S. Otterbach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Synthetic Whiteimages for the Lytro Illum Light Field Camera with Ground Truth Microlens Center Coordinates.

Maximilian Schambach, Fernando Puente León

Dataset, May, 2022

A Multispectral Light Field Dataset for Light Field Deep Learning.

Maximilian Schambach, Michael Heizmann

Dataset, May, 2022

Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields.

Maximilian Schambach

PhD thesis, 2022

2021

Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning.

Maximilian Schambach, Jiayang Shi, Michael Heizmann

Proceedings of the International Conference on 3D Vision, 2021

2020

Microlens Array Grid Estimation, Light Field Decoding, and Calibration.

Maximilian Schambach, Fernando Puente León

IEEE Trans. Computational Imaging, 2020

A Multispectral Light Field Dataset and Framework for Light Field Deep Learning.

Maximilian Schambach, Michael Heizmann

IEEE Access, 2020

Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions.

Matthias Bächle, Maximilian Schambach, Fernando Puente León

Proceedings of the 28th European Signal Processing Conference, 2020