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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 -
State-dependent Importance Sampling for Estimating Expectations of Functionals of Sums of Independent Random Variables2022 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access
Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone
0citations -
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation2025 arXiv (Cornell University) preprint Social Sciences Computational and Text Analysis Methods Open access
Paul Röttger, Aleksandra Urman, Albert Wendsjö, Flor Miriam Plaza-del-Arco, Johannes B. Gruber, Dirk Hovy
82citations -
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access
Mark Niklas Müller, Christopher Brix, Stanley Bak, Changliu Liu, Taylor Thomas Johnson
28citations -
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