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A Method for Computing Inverse Parametric PDE Problems with Randomized Neural Networks
Presenter
- Suchuan Dong
June 9, 2023
ICERM
Twisted topological tangles or: the knot theory of knitting
Presenter
- Sabetta Matsumoto
May 23, 2023
ICERM
Richard Hennig & Jason Gibson - AI-driven workflows for the discovery of novel superconductors
Presenters
- Richard Hennig
- Jason Gibson
May 5, 2023
IPAM
Vasily Bulatov - What are we going to do with data generated in exascale simulations? - IPAM at UCLA
Presenter
- Vasily Bulatov
March 31, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA
Presenter
- Xavier Bresson
February 27, 2023
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Petar Petrov - Laser phase-contrast transmission electron microscopy & computational opportunities
Presenter
- Petar Petrov
November 15, 2022
IPAM
Infancy Longitudinal Structural MRI Data Analysis with Path Signature Features for the Cognitive Scores Prediction
Presenter
- Xin (Cindy) Zhang
July 6, 2021
ICERM
How difficult is it to certify that a random 3SAT formula is unsatisfiable?
Presenter
- Toniann Pitassi
April 6, 2021
IAS
Reinforcement Learning for Integer Programming: Learning to Cut
Presenter
- Yunhao Tang
February 23, 2021
IPAM