Tor's musings

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics (2023)

Leon Klein*, Andrew Y. K. Foong*, Tor Erlend Fjelde*, Bruno Mlodozeniec*, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka (* is equal contribution).

Published in Neurips 2023. Selected for spotlight. Link

Interoperability of statistical models in pandemic preparedness: principles and reality (2022)

George Nicholson, Marta Blangiardo, Mark Briers, Peter J. Diggle, Tor Erlend Fjelde, Hong Ge, Robert J. B. Goudie, Radka Jersakova, Ruairidh E. King, Brieuc C. L. Lehmann, Ann-Marie Mallon, Tullia Padellini, Yee Whye Teh, Chris Holmes, Sylvia Richardson.

Publised in Statistical Science, 2022, 37.2: 183-206. Link

Couplings for Multinomial Hamiltonian Monte Carlo (2021)

Kai Xu*, Tor Erlend Fjelde*, Charles Sutton, Hong Ge (* is equal contribution).

Published in AISTATS 2021. Selected for oral presentation. Link

Bijectors.jl: Flexible transformations of distributions (2019)

Tor Erlend Fjelde, Kai Xu, Mohamed Tarek, Sharan Yalburgi, Hong Ge.

Published in the Proceedings of Machine Learning Research (PMLR), and presented poster at 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) in Vancouver, Cananda. Link

Turing.jl: A probabilistic programming language in Julia

I am one of the core maintainers of Turing.jl , a Julia library for probabilistic programming, and a member of the open-source organization TuringLang , which is responsible for the development of Turing.jl and many other libraries such as AdvancedHMC.jl, Bijectors.jl, DynamicPPL.jl, etc. At the time of writing the library has over 1900 stars on GitHub, and is used by researchers and practitioners around the world. I have been contributing to the library since 2019.

Presentation at the Neurips 2023 meet-up (Cambridge UK, 2023)

Gave a short talk on our Timewarp research published at Neurips 2023 at a local academic meet-up together with Bruno Mlodozeniec.

Lectured at Geilo Winter School 2023 (Geilo NOR, 2023)

Together with Jose Storopoli, we lectured on Turing.jl, the Bayesian workflow, and the scientific ecosystem in the Julia programming language. Presentation Github repo Webpage

Talk at the DigiWell Seminar (Porsgrunn NOR, 2023)

Gave a talk on Bayesian inference for dynamical systems and Turing.jl. Video

Workshop for MRC Biostatstics Unit & UKHSA (Cambridge UK, 2023)

Together with other members of the TuringLang team, we gave workshop on Julia and Turing.jl to the MRC Biostatistics Uni and UKHSA at the University of Cambridge. Github repo

Talk at JuliaCon (Baltimore, 2020)

Gave a talk on transforming probability distributions with Bijectors.jl at JuliaCon 2020. Video

Talk at the Julia Meetup (Cambridge UK, 2019)

Gave a talk on variational inference and normalizing flows using Bijector.jl, and how to use this in Turing.jl. Presentation