Maximilian Schambach

17 papers A* 1B 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ConTextTab: A Semantics-Aware Tabular In-Context Learner. CoRR Marco Spinaci, Marek Polewczyk, Maximilian Schambach, Sam Thelin
2025	J	`jnl`	TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval. CoRR Günther Schindler, Maximilian Schambach, Michael Medek, Sam Thelin
2024	J	`jnl`	Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications. Comput. Commun. Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann
2023	A*	`conf`	Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. NeurIPS Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel
2023	J	`jnl`	Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. CoRR Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel
2023	B	`conf`	Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization. IFIP Networking Olga Kondrateva, Stefan Dietzel, Maximilian Schambach, Johannes S. Otterbach, Björn Scheuermann
2023	J	`jnl`	Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management. CoRR Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach
2023	J	`jnl`	Scaling Experiments in Self-Supervised Cross-Table Representation Learning. CoRR Maximilian Schambach, Dominique Paul, Johannes S. Otterbach
2023	—	`conf`	Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CVPR Workshops Alexander Koenig, Maximilian Schambach, Johannes S. Otterbach
2023	J	`jnl`	Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. CoRR Alexander Koenig, Maximilian Schambach, Johannes S. Otterbach
2022	—	`—`	Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields. Maximilian Schambach
2021	—	`conf`	Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. 3DV Maximilian Schambach, Jiayang Shi, Michael Heizmann
2021	J	`jnl`	Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. CoRR Maximilian Schambach, Jiayang Shi, Michael Heizmann
2020	J	`jnl`	A Multispectral Light Field Dataset and Framework for Light Field Deep Learning. IEEE Access Maximilian Schambach, Michael Heizmann
2020	J	`jnl`	Microlens Array Grid Estimation, Light Field Decoding, and Calibration. IEEE Trans. Computational Imaging Maximilian Schambach, Fernando Puente León
2020	—	`conf`	Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions. EUSIPCO Matthias Bächle, Maximilian Schambach, Fernando Puente León
2019	J	`jnl`	Microlens array grid estimation, light field decoding, and calibration. CoRR Maximilian Schambach, Fernando Puente León