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Author

Jonathan W. Pillow

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#machine learning Preprint Sep 2026

Information-theoretic receding-horizon active learning of nonlinear dynamical systems

Accurately learning nonlinear dynamics from a finite-duration experiment requires the efficient collection of informative data. We address this challenge for stochastic controlled nonlinear dynamical systems whose state is observed along a single trajectory. Our goal is to reconstruct the unknown controlled state-incre...

Juncal Arbelaiz, Anushri Arora, Jonathan W. Pillow · 0 citations
Open access Aug 2026

PIANO: Probabilistic Inference Autoencoder Networks for multi-Omics enables robust generative modeling of gene expression and scales single-cell integration to 100 million cells

Single-cell RNA technologies enable the routine acquisition of transcriptomic atlases. However, these molecular profiles are influenced by overlapping sources of variation. Since these covariates confound comparisons, data integration is the first step in most analyses. Three challenges remain: correcting strong batch...

Ning Wang, Christopher Cardenas, Victor E. Nieto-Caballero et al. · 0 citations

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