Caroline Uhler

Caroline Uhler

Massachusetts Institute of Technology

H-index: 36

North America-United States

About Caroline Uhler

Caroline Uhler, With an exceptional h-index of 36 and a recent h-index of 33 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of mathematical statistics (graphical models, causal inference, algebraic statistics), computational biology (gene regulation, chro.

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

Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models

Season combinatorial intervention predictions with Salt & Peper

Building a two-way street between cell biology and machine learning

Causal Discovery under Off-Target Interventions

Membership Testing in Markov Equivalence Classes via Independence Queries

Meek Separators and Their Applications in Targeted Causal Discovery

Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics

Identifiability guarantees for causal disentanglement from soft interventions

Caroline Uhler Information

University

Position

___

Citations(all)

4734

Citations(since 2020)

3398

Cited By

2442

hIndex(all)

36

hIndex(since 2020)

33

i10Index(all)

72

i10Index(since 2020)

68

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Caroline Uhler Skills & Research Interests

mathematical statistics (graphical models

causal inference

algebraic statistics)

computational biology (gene regulation

chro

Top articles of Caroline Uhler

Title

Journal

Author(s)

Publication Date

Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models

arXiv preprint arXiv:2402.14777

Alvaro Ribot

Chandler Squires

Caroline Uhler

2024/2/22

Season combinatorial intervention predictions with Salt & Peper

arXiv preprint arXiv:2404.16907

Thomas Gaudelet

Alice Del Vecchio

Eli M Carrami

Juliana Cudini

Chantriolnt-Andreas Kapourani

...

2024/4/25

Building a two-way street between cell biology and machine learning

Nature Cell Biology

Caroline Uhler

2024/1

Causal Discovery under Off-Target Interventions

arXiv preprint arXiv:2402.08229

Davin Choo

Kirankumar Shiragur

Caroline Uhler

2024/2/13

Membership Testing in Markov Equivalence Classes via Independence Queries

Jiaqi Zhang

Kirankumar Shiragur

Caroline Uhler

2024/4/18

Meek Separators and Their Applications in Targeted Causal Discovery

Advances in Neural Information Processing Systems

Kirankumar Shiragur

Jiaqi Zhang

Caroline Uhler

2024/2/13

Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics

bioRxiv

Rebecca J Carlson

JJ Patten

George Stefanakis

Brian Y Soong

Adityanarayanan Radhakrishnan

...

2024/4/7

Identifiability guarantees for causal disentanglement from soft interventions

Advances in Neural Information Processing Systems

Jiaqi Zhang

Kristjan Greenewald

Chandler Squires

Akash Srivastava

Karthikeyan Shanmugam

...

2024/2/13

Synthetic lethality screening with Recursive Feature Machines

bioRxiv

Cathy Cai

Adityanarayanan Radhakrishnan

Caroline Uhler

2023

Unpaired multi-domain causal representation learning

Advances in Neural Information Processing Systems

Nils Sturma

Chandler Squires

Mathias Drton

Caroline Uhler

2024/2/13

Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging

Aging Cell

Jana M Braunger

Louis V Cammarata

Trinadha Rao Sornapudi

Caroline Uhler

GV Shivashankar

2024/3

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation

Advances in Neural Information Processing Systems

Wengong Jin

Siranush Sarkizova

Xun Chen

Nir Hacohen

Caroline Uhler

2024/2/13

DSMBind: SE (3) denoising score matching for unsupervised binding energy prediction and nanobody design

bioRxiv

Wengong Jin

Xun Chen

Amrita Vetticaden

Siranush Sarzikova

Raktima Raychowdhury

...

2023

Positivity in Linear Gaussian Structural Equation Models

arXiv preprint arXiv:2305.19884

Asad Lodhia

Jan-Christian Hütter

Caroline Uhler

Piotr Zwiernik

2023/5/31

Active learning for optimal intervention design in causal models

Nature Machine Intelligence

Jiaqi Zhang

Louis Cammarata

Chandler Squires

Themistoklis P Sapsis

Caroline Uhler

2023/10

Adhesome Receptor Clustering is Accompanied by the Colocalization of the Associated Genes in the Cell Nucleus

bioRxiv

Louis V Cammarata

Caroline Uhler

GV Shivashankar

2023

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Nature Communications

Adityanarayanan Radhakrishnan

Sam F Friedman

Shaan Khurshid

Kenney Ng

Puneet Batra

...

2023/4/28

Causal structure learning: A combinatorial perspective

Chandler Squires

Caroline Uhler

2023/10

Causal Representation Learning

Sara Magliacane

Atalanti Mastakouri

Yuki M Asano

Claudia Shi

Cian Eastwood

...

2023/12/10

Wide and deep neural networks achieve consistency for classification

Proceedings of the National Academy of Sciences

Adityanarayanan Radhakrishnan

Mikhail Belkin

Caroline Uhler

2023/4/4

See List of Professors in Caroline Uhler University(Massachusetts Institute of Technology)