SPIEDiff uses conditional diffusion models and epinets to robustly learn thermodynamic structure from short-time particle simulations, with quantified epistemic uncertainty.
Dissipative phenomena in condensed matter: some applications, volume 71
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty
SPIEDiff uses conditional diffusion models and epinets to robustly learn thermodynamic structure from short-time particle simulations, with quantified epistemic uncertainty.