Start date cannot be after end date.
New frontiers for hierarchical Bayesian models in inverse problems
Presenter
- Daniela Calvetti
March 6, 2026
ICERM
Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis
Presenter
- Michael Perlmutter
February 26, 2026
IPAM
Luis Aparicio - Random Matrix Theory Applications to Biology - IPAM at UCLA
Presenter
- Luis Aparicio
February 24, 2026
IPAM
Michael Beverland - Real-time decoding for fault-tolerant quantum computers - IPAM at UCLA
Presenter
- Michael Beverland
February 19, 2026
IPAM
Alexander Kemper - Towards early quantum advantage with impurity embedding methods - IPAM at UCLA
Presenter
- Alexander Kemper
February 17, 2026
IPAM
Maria Molina - Learning Without Labels: New Insights into Climate and Extremes - IPAM at UCLA
Presenter
- Maria Molina
February 4, 2026
IPAM
Constraint-Aware Self-Improving Large Language Model for Clinical Role Model Generation
Presenter
- Esmaeil Keyvanshokooh
February 3, 2026
IMSI
Yunchao Liu - Beyond worst-case mixing-time analysis in quantum Gibbs sampling - IPAM at UCLA
Presenter
- Yunchao Liu
January 13, 2026
IPAM
Beyond Schrödinger Bridges for Learning Trajectories from Snapshots
Presenter
- Renato Berlinghieri
January 13, 2026
ICERM
Scaling Up Bayesian Neural Networks with Neural Networks
Presenter
- Babak Shahbaba
January 12, 2026
ICERM