Sotabase

Career

· Assistant Professor, University of Chicago

Publications (43)

Variability in the analysis of a single neuroimaging dataset by many teams
Nature · 2019
830
cited
Learning Structural Node Embeddings via Diffusion Wavelets
Knowledge Discovery and Data Mining · 2017
426
cited
geomstats: a Python Package for Riemannian Geometry in Machine Learning
arXiv.org · 2018
148
cited
Tracking network dynamics: A survey using graph distances
Annals of Applied Statistics · 2018
102
cited
Deep generative modeling for volume reconstruction in cryo-electron microscopy
Journal of Structural Biology · 2022
45
cited
TRACKING NETWORK DYNAMICS : A SURVEY OF DISTANCES AND SIMILARITY METRICS
2018
29
cited
Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios
Journal of Applied Statistics · 2020
27
cited
Tracking Network Dynamics: a review of distances and similarity metrics
arXiv.org · 2018
13
cited
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic
Statistical Science · 2021
12
cited
A divide-and-conquer framework for large-scale subspace clustering
Asilomar Conference on Signals, Systems and Computers · 2016
10
cited
Similarities in extracorporeal membrane oxygenation management across intensive care unit types in the United States: An analysis of the Extracorporeal Life Support Organization Registry.
Artificial Organs · 2022
9
cited
A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
2020
8
cited
Predicting COVID-19 Transmission to Inform the Management of Mass Events: Model-Based Approach
JMIR Public Health and Surveillance · 2021
8
cited
Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry
Conference on Uncertainty in Artificial Intelligence · 2023
7
cited
Convex Hierarchical Clustering for Graph-Structured Data
Asilomar Conference on Signals, Systems and Computers · 2019
5
cited
The Generalized Elastic Net for Least Squares Regression With Network-Aligned Signal and Correlated Design
IEEE Transactions on Signal and Information Processing over Networks · 2022
4
cited
A Simplified Framework for Contrastive Learning for Node Representations
Asilomar Conference on Signals, Systems and Computers · 2023
3
cited
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results
TAG-ML · 2022
2
cited
A Predictive Modelling Framework for COVID-19 Transmission to Inform the Management of Mass Events
medRxiv · 2021
1
cited
Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
2024
1
cited
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Claire Donnat | Researcher Profile | Sotabase | Sotabase