| Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics L Klein, A Foong, T Fjelde, B Mlodozeniec, M Brockschmidt, S Nowozin, ... Advances in Neural Information Processing Systems 36, 52863-52883, 2023 | 40 | 2023 |
| Interoperability of statistical models in pandemic preparedness: principles and reality G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ... Statistical science: a review journal of the Institute of Mathematical …, 2022 | 21 | 2022 |
| Couplings for Multinomial Hamiltonian Monte Carlo K Xu, TE Fjelde, C Sutton, H Ge International conference on artificial intelligence and statistics, 3646-3654, 2021 | 16 | 2021 |
| Bijectors. jl: Flexible transformations for probability distributions TE Fjelde, K Xu, M Tarek, S Yalburgi, H Ge Symposium on Advances in Approximate Bayesian Inference, 1-17, 2020 | 8 | 2020 |
| Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics. arXiv 2023 L Klein, AY Foong, TE Fjelde, B Mlodozeniec, M Brockschmidt, S Nowozin, ... arXiv preprint arXiv:2302.01170 10, 0 | 5 | |
| Estimating RSV seasonality from pandemic disruptions: a modelling study F Krauer, TE Fjelde, M Koltai, D Hodgson, M Treskova-Schwarzbach, ... medRxiv, 2022.06. 18.22276591, 2022 | 4 | 2022 |
| Turing. jl: a general-purpose probabilistic programming language TE Fjelde, K Xu, D Widmann, M Tarek, C Pfiffer, M Trapp, SD Axen, X Sun, ... ACM Transactions on Probabilistic Machine Learning, 2025 | | 2025 |
| Trained machine learning model for forecasting molecular conformations LI Klein, YK Foong, TE Fjelde, BK Mlodozeniec, MMJ Brockschmidt, ... US Patent App. 18/179,621, 2024 | | 2024 |
