3 papers
stat.ML2026
MEDAL: Manifold Embedding Distillation via Autoencoder Learning
Irene Chang, Tarek M. Zikry, Genevera I. Allen
Low-dimensional embeddings are widely used as visual summaries of high-dimensional data and to enable downstream scientific discoveries. Yet, popular nonlinear dimension reduction…
stat.ML2026
Group-Aware Matrix Estimation and Latent Subspace Recovery
Hamza Golubovic, Matthew Shen, Genevera I. Allen +1
Modern matrix completion problems often involve heterogeneous data whose rows simultaneously belong to many meta-categories, such as demographic and age groups in recommendation sy…
q-bio.NC2025
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang +4
Characterizing interactions between brain areas is a fundamental goal of systems neuroscience. While such analyses are possible when areas are recorded simultaneously, it is rare t…