FSML Lecture Series – Lianghao Cao (Caltech): Derivative-Informed Operator Learning with Applications to Cost-Efficient Bayesian Inversion
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFlow matching in cell trajectories and protein design
Flow matching in cell trajectories and protein design
From Turbulent Flows to Video Games: Managing Large-Scale Data with Tensor Decomposition
Foundation Model for Molecular Design
Global Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process
Zoom link Abstract: Simulating complex physical systems often requires joining non-uniform subsystems, which may be characterized by different geometries or mesh topologies. Coupling these separate subsystems often relies on time-intensive meshing workflows or empirical coupling models, which may not generalize well across all operational regimes. The Schwarz alternating method proposes to overcome these issues, establishing […]