Not finding it? Sign in to also search OpenAlex live.
-
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany2024 arXiv (Cornell University) preprint Computer Science Computational Physics and Python Applications Open access
A. A. Alshehri, N. Eich, Martin Erdmann, Jonas Nathanael Eschle, P. Fackeldey, M Farkas, +16 more
0citations -
Sample-Efficient Reinforcement Learning for Continuous Production: A Case Study on High-Modulus Fiber Tape Spreading2026 International Conference on Electrical, Computer and Energy Technologies (ICECET) conference-paper Computer Science Reinforcement Learning in Robotics Open access
Konstantin Zähl, Christoph Henke, Patrick Böhler, Thomas Gries
0citations -
Artifact for: "The Probabilistic Model Checker Storm: Lightning Strikes Twice"2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Formal Methods in Verification Open access
Tim Quatmann, Matthias Volk, Sebastian Junges, Alexander Bork, Linus Heck, Luko van der Maas, +1 more
0citations -
PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Vinh Hoang, Sebastian Krumscheid, Holger Rauhut, Raul F. Tempone
0citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations