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All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations -
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more
4citations -
Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity0citations
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Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models2024 Research Square preprint Engineering Advanced Memory and Neural Computing Open access cited by 1 patent
Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan
5citations -
Polyclonal sensory neuron derivation from iPSCs as an efficient alternative to single clone strategies for pain-relevant in vitro models2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Pluripotent Stem Cells Research Open access
Anika Neureiter, Luise Ruessmann, Petra A. I. Hautvast, Maike Franziska Dohrn, Noortje W.M. van den Braak, Arzu Stoppe, +4 more
0citations -
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty2021 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener
0citations