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

PIANO accurately integrates single-cell data across species and across single-cell and spatial transcriptomics modalities and models spatially-resolved gene expression during Alzheimer’s disease progression in human brains and integrates over 100 million cancer cells to model drug perturbations.

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