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Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Stochastic Modeling to Personalize Disease Screening Decisions
Presenter
- Oguzhan Alagoz
April 3, 2023
IMSI
David Bowler - Large-scale and linear scaling DFT: why we need it, and how we do it - IPAM at UCLA
Presenter
- David Bowler
March 29, 2023
IPAM
Paul Kent - Extending the reach and accuracy of Quantum Monte Carlo in materials - IPAM at UCLA
Presenter
- Paul Kent
March 29, 2023
IPAM
Reciprocity between tree ensemble optimization and multilinear optimization
Presenter
- Mohit Tawarmalani
March 2, 2023
ICERM
Elias Khalil - Neur2SP: Neural Two-Stage Stochastic Programming - IPAM at UCLA
Presenter
- Elias Khalil
March 2, 2023
IPAM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains
Presenter
- Brook Russell
October 5, 2022
IMSI
Variability in structural network changes resulting from traumatic brain injury
Presenter
- Sarah Muldoon
May 14, 2022
ICERM
Data driven Reduced Order Modeling for inverse scattering
Presenter
- Liliana Borcea
May 13, 2021
IMSI