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Towards multilevel training algorithms: Applying scientific computing perspectives to neural networks
Presenter
- Eric Cyr
April 16, 2026
ICERM
Optimality conditions for a maximum probability problem in optimal control
Presenter
- Caroline Geiersbach
April 13, 2026
ICERM
Ben Zhu - A multi-fidelity approach in boundary plasma modeling - IPAM at UCLA
Presenter
- Ben Zhu
March 24, 2026
IPAM
Leveraging predictive inverse problems to characterize uncertainties in the presence of model misspecification
Presenter
- Rebekah White
March 3, 2026
ICERM
Tuca Auffinger - Open Mathematical Problems in Manifold Learning for Single-Cell Data - IPAM at UCLA
Presenter
- Tuca Auffinger
February 24, 2026
IPAM
Itay Hen - A ~NISQ-Era Quantum Simulation Algorithm with Near-Optimal Precision Scaling
February 18, 2026
IPAM
Itay Hen - A ~NISQ-Era Quantum Simulation Algorithm with Near-Optimal Precision Scaling
Presenter
- Itay Hen
February 18, 2026
IPAM
Po-Lun Ma - Encoding microphysics in Earth system modeling with artificial intelligence
Presenter
- Po-Lun Ma
February 5, 2026
IPAM
Braided Vector Spaces and Arithmetic Statistics Over Function Fields
Presenter
- Jordan Ellenberg
January 29, 2026
IAS
Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise
Presenter
- Daniel Franca
January 14, 2026
IPAM
Recursive estimation for mixtures or why zooming out is a good idea
Presenter
- Bernardo Flores
January 14, 2026
ICERM