activity
20162023
most citedHierarchical Importance Weighted Autoencoders

5 citations · 12 across the 13 of their papers we have counts for

collaborators

14 papers

stat.AP2023

Microbiome Intervention Analysis with Transfer Functions and Mirror Statistics

Kris Sankaran, Pratheepa Jeganathan

Microbiome interventions provide valuable data about microbial ecosystem structure and dynamics. Despite their ubiquity in microbiome research, few rigorous data analysis approache…

stat.ME2022★ 1 cited

Generative Models: An Interdisciplinary Perspective

Kris Sankaran, Susan P. Holmes

By linking conceptual theories with observed data, generative models can support reasoning in complex situations. They have come to play a central role both within and beyond stati…

q-bio.GN2022

Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases

Zhuoyan Xu, Kris Sankaran

Spatially resolved transcriptomics (ST) measures gene expression along with the spatial coordinates of the measurements. The analysis of ST data involves significant computation co…

cs.LG2022

Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization

Adrianna Janik, Kris Sankaran

Concept discovery is one of the open problems in the interpretability literature that is important for bridging the gap between non-deep learning experts and model end-users. Among…

cs.LG2022

Source data selection for out-of-domain generalization

Xinran Miao, Kris Sankaran

Models that perform out-of-domain generalization borrow knowledge from heterogeneous source data and apply it to a related but distinct target task. Transfer learning has proven ef…

stat.CO2022

Bootstrap Confidence Regions for Learned Feature Embeddings

Kris Sankaran

Algorithmic feature learners provide high-dimensional vector representations for non-matrix structured signals, like images, audio, text, and graphs. Low-dimensional projections de…