Videos

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Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs Thumbnail

Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs

Presenter
  • Tingwei Meng
July 17, 2025
IPAM
Luc Rey-Bellet - IPAM at UCLA Thumbnail

Luc Rey-Bellet - IPAM at UCLA

Presenter
  • Luc Rey-Bellet
July 16, 2025
IPAM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA Thumbnail

Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA

Presenter
  • Zecheng Zhang
July 16, 2025
IPAM
Nisha Chandramoorthy - Toward physical generative modeling - IPAM at UCLA Thumbnail

Nisha Chandramoorthy - Toward physical generative modeling - IPAM at UCLA

Presenter
  • Nisha Chandramoorthy
July 16, 2025
IPAM
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo Thumbnail

Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo

Presenter
  • Guang Lin
July 16, 2025
IPAM
Yuanqi Du - Bridging Non-equilibrium Simulation and Probabilistic Machine Learning - IPAM at UCLA Thumbnail

Yuanqi Du - Bridging Non-equilibrium Simulation and Probabilistic Machine Learning - IPAM at UCLA

Presenter
  • Yuanqi Du
July 16, 2025
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA Thumbnail

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 Thumbnail

Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling

Presenter
  • Haomin Zhou
July 15, 2025
IPAM
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA Thumbnail

Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA

Presenter
  • Rongjie Lai
July 15, 2025
IPAM
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification Thumbnail

Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification

Presenter
  • Benjamin Zhang
July 15, 2025
IPAM
Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators Thumbnail

Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators

Presenter
  • Siting Liu
July 15, 2025
IPAM
Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA Thumbnail

Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA

Presenter
  • Li Wang
July 15, 2025
IPAM