no code implementations • 30 May 2016 • Krzysztof Chalupka, Tobias Bischoff, Pietro Perona, Frederick Eberhardt
We show that the climate phenomena of El Nino and La Nina arise naturally as states of macro-variables when our recent causal feature learning framework (Chalupka 2015, Chalupka 2016) is applied to micro-level measures of zonal wind (ZW) and sea surface temperatures (SST) taken over the equatorial band of the Pacific Ocean.
1 code implementation • 2 May 2023 • Tobias Bischoff, Katherine Deck
We present a method to downscale idealized geophysical fluid simulations using generative models based on diffusion maps.
1 code implementation • 27 Jun 2023 • Katherine Deck, Tobias Bischoff
Generated images of score-based models can suffer from errors in their spatial means, an effect, referred to as a color shift, which grows for larger images.
no code implementations • 31 Jan 2024 • Tobias Bischoff, Bryan Riel
We introduce ensembles within score-based sampling methods to develop gradient-free approximate sampling techniques that leverage the collective dynamics of particle ensembles to compute approximate reverse diffusion drifts.