2 papers
cs.CV2026
Compressing Vision Transformers in Geospatial Transfer Learning with Manifold-Constrained Optimization
Thomas Snyder, H. Lexie Yang, Stefan Schnake +1
Deploying geospatial foundation models on resource-constrained edge devices demands compact architectures that maintain high downstream performance. However, their large parameter…
cs.LG2025
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
Steffen Schotthöfer, H. Lexie Yang, Stefan Schnake
Deployment of neural networks on resource-constrained devices demands models that are both compact and robust to adversarial inputs. However, compression and adversarial robustness…