Videos

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Shantenu Jha - All (Foundation) Models are wrong. Some (Foundation) Models can be made useful

April 18, 2029
IPAM

Alexander Velberg - Data-driven discovery of sub-grid models for collisionless magnetic reconnection

April 18, 2029
IPAM

Jingwei Hu - A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System

April 18, 2029
IPAM

Guannan Zhang - Generative diffusion models for learning stochastic flow maps in particle-based kinetic simulation

April 17, 2029
IPAM

Luis Oliveira e Silva - Ab initio PIC simulations and data-driven techniques for multi-fidelity or reduced plasma models

April 17, 2029
IPAM

Benjamin Sanderse - Structure-preserving SciML for discovering ODEs and SDEs in fluid flows

April 17, 2029
IPAM

Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2029
IPAM

Ammar Hakim - BEACONS and BEACONS-FM: Lighting a Path to Modular, Composable, Formally Verified Fusion Foundation Models

April 17, 2029
IPAM

Leonardo Zepeda-Núñez - Learning Turbulent and Chaotic Dynamics via Data-Driven Probabilistic Models

April 16, 2029
IPAM

Cristina Rea - Data-driven learning for disruption prevention and performance optimization

April 16, 2029
IPAM

Diego Del-Castillo-Negrete - Generative Artificial Intelligence methods for turbulence and kinetic computations

April 16, 2029
IPAM

Karen Willcox - Multifidelity Proper Orthogonal Decomposition

April 16, 2029
IPAM