2 papers
cs.LG2026
MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
Shicheng Fan, Nour Elhendawy, Jianle Sun +4
Causal representation learning (CRL) seeks to recover latent variables with identifiability guarantees, typically up to permutation and component-wise reparameterization under appr…
cs.LG2025
Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation
Yihang Wang, Chris Chi, Aaron R. Dinner
Normalizing flows (NFs) provide uncorrelated samples from complex distributions, making them an appealing tool for parameter estimation. However, the practical utility of NFs remai…