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Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 2025
IPAM
Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling
Presenter
- Haomin Zhou
July 15, 2025
IPAM
Gluing Genus 1 and Genus 2 Curves over ℓ-torsion
Presenter
- Pitchayut Saengrungkongka
July 10, 2025
ICERM
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Presenter
- Yiping Lu
June 13, 2025
IMSI
Re-anchoring Quantum Monte Carlo with Tensor-Train Sketching
Presenter
- Yuehaw Khoo
June 10, 2025
IMSI
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Presenter
- Yiping Lu
May 22, 2025
IMSI
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Digital Twin Calibration with Model-Based Reinforcement Learning
Presenter
- Wei Xie
May 22, 2025
IMSI
Generative modeling of conditional spatial distributions via autoregressive Gaussian processes
Presenter
- Matthias Katzfuss
May 21, 2025
IMSI