John Anderson
3 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
fluid dynamics
(2)
matrix factorization
(1)
similarity learning
(1)
optimal transport
(1)
variance reduction
(1)
latent variable model
(1)
diffusion model
(1)
stochastic differential equation
(1)
statistical downscaling
(1)
conditional sampling
(1)
neural network embedding
(1)
unpaired data
(1)
neural network
(1)
probistic mapping
(1)
resolution upsampling
(1)
turbulence modeling
(1)
large eddy simulation
(1)
probabilistic modeling
(1)
gramian estimation
(1)
Papers
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
NeurIPS 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
NeurIPS 2023
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019