Markus Groß

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error.
CoRR, May, 2026

DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning.
CoRR, April, 2026

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach.
CoRR, February, 2026

Kernel-based optimization of measurement operators for quantum reservoir computers.
CoRR, February, 2026

2025
High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion.
CoRR, February, 2025

Multi-linear 3D Craniofacial Infant Shape Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Expressivity vs. Generalization in Quantum Kernel Methods.
Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation.
CoRR, 2023

2005
Baseband signal processing of digital video broadcasting direct-conversion zero-IF tuners.
IEEE Trans. Consumer Electron., 2005


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