talks

Talks I have given at conferences, workshops, and coorporate venues.

Score-Based Diffusion Models in Infinite Dimensions [slides]

  • Biennial Meeting of SIAM Pacific Northwest Section (PNW). October 2023.
  • International Congress on Industrial and Applied Mathematics (ICIAM). August 2023.

Deep Learning in Function Spaces [slides]

  • International Conference on Scientific Computation and Differential Equations (SciCADE). July 2022.
  • Rough Paths Interest Group at the Alan Turing Institute (invited group talk). November 2021.
  • Deep Learning and Inverse Problems (INI MDLW02). September 2021.
  • Computation and Learning in High Dimensions (MFO). August 2021.
  • Foundations of Bayesian Inference for Complex Statistical Models (MFO). May 2021.
  • The Aerospace Corporation (invited group talk). December 2020.
  • SIAM Conference on Mathematics of Data Science (MDS20). December 2020.

Conditional Sampling via Measure Transport [slides]

  • Second Symposium on Machine Learning and Dynamical Systems (MLDS). September 2020.
  • SIAM Conference on Imaging Science (IS20). July 2020.

Understanding Momentum through Continuous Time Analysis [slides]

  • International Congress on Industrial and Applied Mathematics (ICIAM). July 2019.
  • Applied Inverse Problems (AIP). July 2019.
  • Inverse Problems and Machine Learning (IPML). May 2019.
  • SIAM Conference on Applications of Dynamical Systems (DS19). May 2019.

Regression Clustering for Molecular Predictions [slides]

  • CMS 273 Final Presentation (Schmidt Futures). March 2019.

Ensemble Kalman Inversion for Machine Learning [slides]

  • International Congress on Industrial and Applied Mathematics (ICIAM). July 2019.
  • Applied Inverse Problems (AIP). July 2019.
  • SIAM Conference on Computational Science and Engineering (CSE19). February 2019.
  • Inverse Problems and Machine Learning (IPML). February 2018.