3 papers
cs.LG2026
Interpretable epistemic uncertainty decomposition in sequential generative models via polynomial chaos surrogates
Ramón Nartallo-Kaluarachchi, Shashanka Ubaru, MaÅgorzata J ZimoÅ +4
Sequential generative models conditioned on uncertain rewards are central to AI-driven scientific discovery, yet the epistemic uncertainty they inherit from imperfect reward estima…
physics.flu-dyn2025
Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models
Mohammed Sardar, MaÅgorzata J. ZimoÅ, Samuel Draycott +2
We investigate the statistical accuracy of temporally interpolated spatiotemporal flow sequences between sparse, decorrelated snapshots of turbulent flow fields using conditional D…
physics.chem-ph2025
Predicting Thermodynamics of Liquid Water from Time Series Analysis
MaÅgorzata J. ZimoÅ, Fausto Martelli
Thermodynamics, introduced over two centuries ago, remains foundational to our understanding of physical, chemical, biological, and engineering systems. Its principles are traditio…