| Toward the end-to-end optimization of particle physics instruments with differentiable programming T Dorigo, A Giammanco, P Vischia, M Aehle, M Bawaj, A Boldyrev, ... Reviews in Physics 10, 100085, 2023 | 50 | 2023 |
| Design of the magnet system of the neutron decay facility PERC X Wang, C Ziener, H Abele, S Bodmaier, D Dubbers, J Erhart, A Hollering, ... EPJ Web of Conferences 219, 04007, 2019 | 24 | 2019 |
| Escalation risks from language models in military and diplomatic decision-making JP Rivera, G Mukobi, A Reuel, M Lamparth, C Smith, J Schneider The 2024 ACM Conference on Fairness, Accountability, and Transparency, 836-898, 2024 | 18 | 2024 |
| Analyzing and editing inner mechanisms of backdoored language models M Lamparth, A Reuel The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2362-2373, 2024 | 9 | 2024 |
| Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations M Lamparth, A Corso, J Ganz, OS Mastro, J Schneider, H Trinkunas arXiv preprint arXiv:2403.03407, 2024 | 8* | 2024 |
| TomOpt: Differential optimisation for task-and constraint-aware design of particle detectors in the context of muon tomography GC Strong, M Lagrange, A Orio, A Bordignon, F Bury, T Dorigo, ... Machine Learning: Science and Technology, 2023 | 4 | 2023 |
| Gaussian processes and bayesian optimization for high precision experiments M Lamparth, M Bestehorn, B Märkisch arXiv preprint arXiv:2205.07625, 2022 | 4 | 2022 |
| Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation D Grabb, M Lamparth, N Vasan CoLM 2024, 2024 | 2 | 2024 |
| Fierz Interference Term in Neutron Beta Decay and New Approaches for Systematic Uncertainty Quantification M Lamparth Technische Universität München, 2023 | 1 | 2023 |
| Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves M Lamparth, L Böss, U Steinwandel, K Dolag NeurIPS 2022, Machine Learning and the Physical Sciences workshop, 2022 | 1 | 2022 |
| TomOpt: Differentiable Muon-Tomography Optimization M Lagrange, T Dorigo, G Strong, A Giammanco, P Vischia, F Fanzago, ... EGU General Assembly Conference Abstracts, EGU22-9470, 2022 | 1 | 2022 |
| Markovian Agents for Truthful Language Modeling S Viteri, M Lamparth, P Chatain, C Barrett arXiv preprint arXiv:2404.18988, 2024 | | 2024 |
Anka ReuelCS Ph.D. Student, Stanford University在 cs.stanford.edu 的电子邮件经过验证
