CORTEXA
← Browse

Gerhard Neumann

3 papers indexed

arxivcs.ROcs.CV2026-07-31

RayViT: Ray-Conditioned Visual Representations for Viewpoint-Robust Imitation Learning

Qian Wang, Longrui Chen, Peiran Sun, Aleksandar Taranovic, Niklas Freymuth, Ge Li, et al.

Visual imitation learning enables robots to acquire visuomotor skills directly from images, yet RGB observations lack explicit geometric cues, making learned policies brittle to camera perturbations. To address this, we propose \textbf{Ray-conditioned Vision Transformer Encoder (…

View free PDFSource page
arxivcond-mat.mtrl-scics.LGphysics.comp-ph2026-07-21

ATLAS: A Foundation Neural Sampler for Amorphous Materials

Mouyang Cheng, Denis Blessing, Botao Yu, Gerhard Neumann, Mingda Li, Carles Domingo-Enrich, et al.

Amorphous materials exhibit exceptional mechanical and functional properties, yet their rugged energy landscapes are notoriously difficult to sample. Below the glass-transition temperature, conventional molecular dynamics and Monte Carlo become inefficient because equilibration r…

View free PDFSource page
crossrefMachine Learning2026-07-01

Adaptive Swarm Mesh Refinement Using Deep Reinforcement Learning with Local Rewards

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

Abstract Simulating physical systems is essential in engineering, but analytical solutions are limited to straightforward problems. Consequently, numerical methods like the Finite Element Method (FEM) are widely used. However, the FEM becomes computationally expensive as problem…

View free PDFSource page