publications

publications in reversed chronological order

in review

  1. Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
    Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, and Frank Noé
    2025

2024

  1. Doob’s Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
    Yuanqi Du*, Michael Plainer*, Rob Brekelmans*, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, and Kirill Neklyudov
    In Advances in Neural Information Processing Systems, 2024

2023

  1. Transition Path Sampling with Boltzmann Generator-based MCMC Moves
    Michael Plainer*, Hannes Stärk*, Charlotte Bunne, and Stephan Günnemann
    In Generative AI and Biology Workshop, 2023
  2. DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
    Michael Plainer, Marcella Toth, Simon Dobers, Hannes Stärk, Gabriele Corso, Céline Marquet, and Regina Barzilay
    In Machine Learning in Structural Biology, 2023
  3. Transporting Densities Across Dimensions
    Michael Plainer, Felix Dietrich, and Ioannis G. Kevrekidis
    2023

theses

  1. MSc.
    Machine Learning Techniques for Improved Transition Path Sampling
    Michael Plainer
    Technical University of Munich, Nov 2023
    Master’s Thesis
  2. BSc.
    Transport of Discontinuous Densities with Artificial Neural Networks
    Michael Plainer
    Technical University of Munich, Sep 2021
    Bachelor’s Thesis

* Equal contribution