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Max Schweiger

Showing results (1-10 of 7) with videos related to

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The Journal of Chemical Physics|March 4, 2024
Avoiding matrix exponentials for large transition rate matricesPedro Pessoa, Max Schweiger, Steve Pressé
Arxiv|June 12, 2025
A cautious user's guide in applying HMMs to physical systemsMax Schweiger, Ayush Saurabh, Steve Pressé
Plos Computational Biology|July 18, 2023
Monte Carlo samplers for efficient network inferenceZeliha Kilic, Max Schweiger, Camille Moyer, et al.
Biophysical Journal|January 11, 2024
An accurate probabilistic step finder for time-series analysisAlex Rojewski, Max Schweiger, Ioannis Sgouralis, et al.
Nature Computational Science|December 21, 2023
Gene expression model inference from snapshot RNA data using Bayesian non-parametricsZeliha Kilic, Max Schweiger, Camille Moyer, et al.
Arxiv|January 29, 2025
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolvePedro Pessoa, Max Schweiger, Lance W Q Xu, et al.
Iscience|November 24, 2025
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolvePedro Pessoa, Max Schweiger, Lance W Q Xu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|March 4, 2024
Avoiding matrix exponentials for large transition rate matricesPedro Pessoa, Max Schweiger, Steve Pressé
Arxiv|June 12, 2025
A cautious user's guide in applying HMMs to physical systemsMax Schweiger, Ayush Saurabh, Steve Pressé
Plos Computational Biology|July 18, 2023
Monte Carlo samplers for efficient network inferenceZeliha Kilic, Max Schweiger, Camille Moyer, et al.
Biophysical Journal|January 11, 2024
An accurate probabilistic step finder for time-series analysisAlex Rojewski, Max Schweiger, Ioannis Sgouralis, et al.
Nature Computational Science|December 21, 2023
Gene expression model inference from snapshot RNA data using Bayesian non-parametricsZeliha Kilic, Max Schweiger, Camille Moyer, et al.
Arxiv|January 29, 2025
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolvePedro Pessoa, Max Schweiger, Lance W Q Xu, et al.
Iscience|November 24, 2025
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolvePedro Pessoa, Max Schweiger, Lance W Q Xu, et al.
Pageof 1