Videos

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Keith Promislow - Correlation as a Source of Stochasticity in Continuum Models - IPAM at UCLA Thumbnail

Keith Promislow - Correlation as a Source of Stochasticity in Continuum Models - IPAM at UCLA

Presenter
  • Keith Promislow
September 4, 2025
IPAM

Parameter Space Level Sets of n-ary Collinear Fractals: From Polynomial Roots to Mandelbrot-like Loci Mn

Presenter
  • Bernat Espigule
August 14, 2025
ICERM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA Thumbnail

Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA

Presenter
  • Wei Zhu
July 18, 2025
IPAM
Markos Katsoulakis - Hamilton-Jacobi Equations, Mean-Field Games, and Optimal Control for Robust ML Thumbnail

Markos Katsoulakis - Hamilton-Jacobi Equations, Mean-Field Games, and Optimal Control for Robust ML

Presenter
  • Markos Katsoulakis
July 17, 2025
IPAM
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
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
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
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