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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
Scalar and gravitational horizon hair as observable imprints of extremal black hole spacetimes
Presenter
- Som Bishoyi
January 8, 2026
ICERM
Scalable Reduced Order Modelling For Digital Twins – Hype or Reality
Presenter
- Dirk Hartmann
November 13, 2025
IMSI
Enhancing CFD simulations for digital twins by model reduction and scientific machine learning
Presenter
- Gianluigi Rozza
November 12, 2025
IMSI
Amortized Full-Waveform Inference with learned Summary Statistics
Presenter
- Felix Herrmann
November 10, 2025
IMSI
Operator-Theoretic Learning and Control: A Paradigm Shift in Stochastic Systems Theory
Presenter
- Boris Houska
October 31, 2025
IMSI
Stochastic Optimization with Superquantile Constraints: A Fast Computational Approach
Presenter
- Ying Cui
October 29, 2025
IMSI
Clotilde Cucinotta - Advancing Ab Initio Molecular Dynamics for Electrified Interfaces
Presenter
- Clotilde Cucinotta
October 28, 2025
IPAM
Stefan Wippermann - Capturing Electrode Potential Dynamics in Ab initio Electrochemical Simulations
Presenter
- Stefan Wippermann
October 28, 2025
IPAM