Not finding it? Sign in to also search OpenAlex live.
-
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study8citations
-
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more
6citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum2025 International Journal of Dynamics and Control article Computer Science Reinforcement Learning in Robotics Open access
Faras Brumand‐Poor, Paul Wagemann, Timm Geibel, Katharina Schmitz
4citations -
Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
J. Slim, Saverio Monaco, Florian Rehm, D. Kruecker, Frank Gaede, Kerstin Borras
1citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
0citations -
Prompt injection attacks on vision language models in oncology2025 Nature Communications article Computer Science Adversarial Robustness in Machine Learning Open access
Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin Victoria Schneider, Titus Josef Brinker, Sebastian Foersch, +2 more
99citations