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Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Tristan Bepler - Detection of objects in cryo-electron micrographs using geometric deep learning
Presenter
- Tristan Bepler
November 16, 2022
IPAM
Matteo Tanzi - Self-consistent transfer operators for high-dimensional expanding coupled maps
Presenter
- Matteo Tanzi
August 29, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution
Presenter
- Mark Tuckerman
May 26, 2022
IPAM
Leslie Vogt-Maranto - Molecular Electron Densities via Machine Learning
Presenter
- Leslie Vogt-Maranto
May 24, 2022
IPAM
Jonathan Weare - A fast Jacobi iteration with repeated random sparsification
Presenter
- Jonathan Weare
May 23, 2022
IPAM
Convergence of Empirical Measures, Mean-Field Games and Deep Learning Algorithms
Presenter
- Ruimeng Hu
May 23, 2022
IMSI
Fully-dynamic risk measures: time-consistency, horizon risk, and relations with BSDEs and BSVIEs
Presenter
- Giulia Di Nunno
May 9, 2022
IMSI
Michael Lindsey - Many-body perturbation theory and Green's function methods
Presenter
- Michael Lindsey
March 10, 2022
IPAM
