ConTextTab: A Semantics-Aware Tabular In-Context Learner.
Spinaci, M., Polewczyk,, M., and Schambach, M., and Thelin, S.
arXiv:2506.10707, 2025.
[paper]

Scaling Experiments in Self-Supervised Cross-Table Representation Learning.
Schambach, M., Paul, D., and Otterbach, J.
NeurIPS Table Representation Learning Workshop, 2023.
[paper]
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models.
Siems, J., Ditschuneit, K., Ripken, W., Lindborg, A., Schambach, M., Otterbach, J., and Genzel, M.
Advances in Neural Information Processing System (NeurIPS), 2023.
[paper]
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models.
Siems, J., Ditschuneit, K., Ripken, W., Lindborg, A., Schambach, M., Otterbach, J., and Genzel, M.
ICML 3rd Workshop on Interpretable Machine Learning in Healthcare, 2023.
[paper]
Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization.
Kondrateva, O., Dietzel, S., Schambach, M., Otterbach, J., and Scheuermann, B.
IFIP Networking, 2023.
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation.
Koenig, A., Schambach, M., and Otterbach, J.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.
[paper]
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.
Siems, J., Schambach, M., Schulze, S., and Otterbach, J.
ICLR AI for Agent-Based Modelling Workshop, 2023.
[paper]

Fabrication of Microlens Arrays with High Quality and High Fill Factor by Inkjet Printing.
Zhang, Q., Schambach, M., Schlisske, S., Jin, Q., Mertens, A., Hernandez-Sosa, G., Heizmann, M., and Lemmer, U.
Advanced Optical Materials, 2022.
[paper]
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields.
Schambach, M.
PhD Thesis, Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 2022.
[thesis] [code]

A Highly Textured Real-World Multispectral Light Field Dataset.
Schambach, M. and Heizmann, M.
RADAR4KIT, 2021.
[data]
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning.
Schambach, M., Shi, J., and Heizmann, M.
International Conference on 3D Vision (3DV), 2021.
[paper] [data]
Improving Light Efficiency in Multispectral Imaging via Complementary Notch Filters.
Panther,T.*, Schambach, M.*, and Heizmann, M.
Automated Visual Inspection and Machine Vision IV
International Society for Optics and Photonics (SPIE), 2021.
[paper]
Automated Quality Assessment of Inkjet-Printed Microlens Arrays.
Schambach, M., Zhang, Q., Lemmer, U., and Heizmann, M.
tm – Technisches Messen, 88.6, pp.342–351, 2021.
[paper]
Automated Quantitative Quality Assessment of Printed Microlens Arrays.
Schambach, M., Zhang, Q., Lemmer, U., and Puente León, F.
Forum Bildverarbeitung, KIT Scientific Publishing, 2021.
[paper]
Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions.
Bächle, M., Schambach, M., and Heizmann, M.
2020 28th European Signal Processing Conference (EUSIPCO), 2021.
[paper] [code]

Reconstruction of Multispectral Images from Spectrally Coded Light Fields of Flat Scenes.
Schambach, M. and Puente León, F.
tm – Technisches Messen, 86.12, pp.758–764, 2019.
[paper] [code]
IIIT Raytracer – A Computational Camera Simulation Written in C++.
Contributor, maintainer
A Simulation Framework for the Design and Evaluation of Computational Cameras.
Nürnberg, T., Schambach, M., Uhlig, D., Heizmann, M., and Puente León, F.
Automated Visual Inspection and Machine Vision III (Vol. 11061, p. 1106102)
International Society for Optics and Photonics (SPIE), 2019.
[paper] [code]

Algorithms for Microlens Center Detection.
Schambach, M. and Puente León, F.
Forum Bildverarbeitung, KIT Scientific Publishing, 2018.
[paper]
The Proca Field in Curved Spacetimes and its Zero Mass Limit.
Schambach, M. and Sanders, K.
Reports on Mathematical Physics, 82.2, pp.203–239, 2018.
[paper]

2025

2024