Claire Donnat

Claire Donnat

University of Chicago

H-index: 10

North America-United States

About Claire Donnat

Claire Donnat, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Statistics, graphs, biomedical data analysis, latent variable models, brain connectomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics

A Simplified Framework for Contrastive Learning for Node Representations

Sparse topic modeling via spectral decomposition and thresholding

Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios

Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry

Statistical Challenges in Tracking the Evolution of SARS-CoV-2........................... Lorenzo Cappello, Jaehee Kim, Sifan Liu and Julia A. Palacios 162 Interoperability of …

Statistical modeling for practical pooled testing during the COVID-19 pandemic

Iclr 2022 challenge for computational geometry & topology: Design and results

Claire Donnat Information

University

Position

___

Citations(all)

1571

Citations(since 2020)

1547

Cited By

454

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Claire Donnat Skills & Research Interests

Statistics

graphs

biomedical data analysis

latent variable models

brain connectomics

Top articles of Claire Donnat

Title

Journal

Author(s)

Publication Date

One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics

arXiv preprint arXiv:2405.00619

Claire Donnat

Olga Klopp

Nicolas Verzelen

2024/5/1

A Simplified Framework for Contrastive Learning for Node Representations

arXiv preprint arXiv:2305.00623

Ilgee Hong

Huy Tran

Claire Donnat

2023/5/1

Sparse topic modeling via spectral decomposition and thresholding

arXiv preprint arXiv:2310.06730

Huy Tran

Yating Liu

Claire Donnat

2023/10/10

Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios

Journal of Applied Statistics

Claire Donnat

Susan Holmes

2023/9/10

Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry

Claire Donnat

So Won Jeong

2023/7/2

Statistical Challenges in Tracking the Evolution of SARS-CoV-2........................... Lorenzo Cappello, Jaehee Kim, Sifan Liu and Julia A. Palacios 162 Interoperability of …

Statistical Science

Lorenzo Cappello

Jaehee Kim

Sifan Liu

Julia A Palacios

2022/5

Statistical modeling for practical pooled testing during the COVID-19 pandemic

Statistical Science

Saskia Comess

Hannah Wang

Susan Holmes

Claire Donnat

2022/5

Iclr 2022 challenge for computational geometry & topology: Design and results

Adele Myers

Saiteja Utpala

Shubham Talbar

Sophia Sanborn

Christian Shewmake

...

2022/11/9

The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design

arXiv preprint arXiv:2211.00292

Huy Tran

Sansen Wei

Claire Donnat

2022/11/1

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy

Claire Donnat

Axel Levy

Frederic Poitevin

Ellen D Zhong

Nina Miolane

2022/12/1

Tuning the Geometry of Graph Neural Networks

arXiv preprint arXiv:2207.05887

Sowon Jeong

Claire Donnat

2022/7/12

Similarities in extracorporeal membrane oxygenation management across intensive care unit types in the United States: An analysis of the Extracorporeal Life Support …

Artificial organs

Clark G Owyang

Claire Donnat

Daniel Brodie

Hayley B Gershengorn

May Hua

...

2022/7

Predicting COVID-19 transmission to inform the management of mass events: model-based approach

JMIR Public Health and Surveillance

Claire Donnat

Freddy Bunbury

Jack Kreindler

David Liu

Filippos T Filippidis

...

2021/12/1

A Predictive Modelling Framework for COVID-19 Transmission to Inform the Management of Mass Events

Journal of Meidical Internet Research

Claire Donnat

Freddy Bunbury

Jack Kreindler

Filippos Filippidis

Austen El-Osta

...

2021/5/16

A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses

Claire Donnat

Nina Miolane

Freddy Bunbury

Jack Kreindler

2020/11/23

Introduction to geometric learning in python with geomstats

Nina Miolane

Nicolas Guigui

Hadi Zaatiti

Christian Shewmake

Hatem Hajri

...

2020/7/6

Variability in the analysis of a single neuroimaging dataset by many teams

Nature

Rotem Botvinik-Nezer

Felix Holzmeister

Colin F Camerer

Anna Dreber

Juergen Huber

...

2020/6/4

Uncertainty Quantification in Networks with Applications to Brain Connectomics

Claire Louise Donnat

2020

Geomstats: a Python package for Riemannian geometry in machine learning

Journal of Machine Learning Research

Nina Miolane

Nicolas Guigui

Alice Le Brigant

Johan Mathe

Benjamin Hou

...

2020

See List of Professors in Claire Donnat University(University of Chicago)

Co-Authors

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