Contributed talks
Conference contributions and invited seminars, newest first. Slides are available for most recent talks; badges link to the related paper or blog post.
Approaching the optimal closure: Equivariance, inductive bias, and Reynolds-number generalization in data-driven LES
Data-driven closure modeling: From deterministic to probabilistic models
Model-data consistent closure models in large-eddy simulation
Discrete closure models for turbulent flows: Exploiting differentiable programming
Learning neural closure models for discretely filtered turbulence
Closure models for discretely filtered differential equations
Closure models for discretely filtered differential equations
Closure models for discretely filtered differential equations
Data-driven filtering of differential equations