3 papers
cs.LG2025
Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits
Yannik Mahlau, Maximilian Schier, Christoph Reinders +3
Inverse design of photonic integrated circuits (PICs) has traditionally relied on gradientbased optimization. However, this approach is prone to end up in local minima, which resul…
cs.CV2025
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
Training deep neural networks requires datasets with a large number of annotated examples. The collection and annotation of these datasets is not only extremely expensive but also…
cs.CV2024
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation
Christoph Reinders, Radu Berdan, Beril Besbinar +2
Current deep learning approaches in computer vision primarily focus on RGB data sacrificing information. In contrast, RAW images offer richer representation, which is crucial for p…