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cs.LG2026
Structure-preserving uncertainty quantification for GENERIC dynamics
Zequn He, Celia Reina
Structure-preserving machine learning embeds physical structure directly into model architectures, yet uncertainty quantification (UQ) for such hard-constrained models remains limi…
cs.LG2025
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty
Zequn He, Celia Reina
The data-driven discovery of long-time macroscopic dynamics and thermodynamics of dissipative systems with particle fidelity is hampered by significant obstacles. These include the…