Caroline Uhler

115 papers A* 18A 10C 1Misc 1Journal 75Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Causal Diffusions for Single-Cell Perturbation Modeling. CoRR Lars Lorch, Jiaqi Zhang, Charlotte Bunne, Andreas Krause, Bernhard Schölkopf, Caroline Uhler
2026	J	`jnl`	Learning genetic perturbation effects with variational causal inference. PLoS Comput. Biol. Emily Liu, Jiaqi Zhang, Caroline Uhler
2026	J	`jnl`	On the Number of Conditional Independence Tests in Constraint-based Causal Discovery. CoRR Marc Franquesa Monés, Jiaqi Zhang, Caroline Uhler
2026	J	`jnl`	Partially shared multi-modal embedding learns holistic representation of cell state. Nat. Comput. Sci. Xinyi Zhang, G. V. Shivashankar, Caroline Uhler
2025	J	`jnl`	A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning. npj Digit. Medicine Sana Tonekaboni, Sam Freesun Friedman, Xinyi Zhang, Mahnaz Maddah, Caroline Uhler
2025	A*	`conf`	An Information Criterion for Controlled Disentanglement of Multimodal Data. ICLR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2025	J	`jnl`	BindEnergyCraft: Casting Protein Structure Predictors as Energy-Based Models for Binder Design. CoRR Divya Nori, Anisha Parsan, Caroline Uhler, Wengong Jin
2025	J	`jnl`	Causal Structure and Representation Learning with Biomedical Applications. CoRR Caroline Uhler, Jiaqi Zhang
2025	—	`conf`	Causality - Exploiting Multi-Modal Data. KDD (2) Caroline Uhler
2025	J	`jnl`	Meta-Dependence in Conditional Independence Testing. CoRR Bijan Mazaheri, Jiaqi Zhang, Caroline Uhler
2025	J	`jnl`	No Foundations without Foundations - Why semi-mechanistic models are essential for regulatory biology. CoRR Luka Kovacevic, Thomas Gaudelet, James Opzoomer, Hagen Triendl, John Whittaker, Caroline Uhler, Lindsay Edwards, Jake P. Taylor-King
2025	A*	`conf`	Probabilistic Factorial Experimental Design for Combinatorial Interventions. ICML Divya Shyamal, Jiaqi Zhang, Caroline Uhler
2025	J	`jnl`	Probabilistic Factorial Experimental Design for Combinatorial Interventions. CoRR Divya Shyamal, Jiaqi Zhang, Caroline Uhler
2025	A	`conf`	Synthetic Potential Outcomes and Causal Mixture Identifiability. AISTATS Bijan Mazaheri, Chandler Squires, Caroline Uhler
2024	J	`jnl`	An Information Criterion for Controlled Disentanglement of Multimodal Data. CoRR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2024	A	`conf`	Causal Discovery under Off-Target Interventions. AISTATS Davin Choo, Kirankumar Shiragur, Caroline Uhler
2024	J	`jnl`	Causal Discovery under Off-Target Interventions. CoRR Davin Choo, Kirankumar Shiragur, Caroline Uhler
2024	A*	`conf`	Causal Discovery with Fewer Conditional Independence Tests. ICML Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
2024	J	`jnl`	Causal Discovery with Fewer Conditional Independence Tests. CoRR Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
2024	—	`conf`	Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR Alvaro Ribot, Chandler Squires, Caroline Uhler
2024	J	`jnl`	Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CoRR Alvaro Ribot, Chandler Squires, Caroline Uhler
2024	A*	`conf`	Identifiability Guarantees for Causal Disentanglement from Purely Observational Data. NeurIPS Ryan Welch, Jiaqi Zhang, Caroline Uhler
2024	J	`jnl`	Identifiability Guarantees for Causal Disentanglement from Purely Observational Data. CoRR Ryan Welch, Jiaqi Zhang, Caroline Uhler
2024	A*	`conf`	Learning Mixtures of Unknown Causal Interventions. NeurIPS Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler
2024	J	`jnl`	Learning Mixtures of Unknown Causal Interventions. CoRR Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler
2024	A	`conf`	Membership Testing in Markov Equivalence Classes via Independence Queries. AISTATS Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler
2024	J	`jnl`	Membership Testing in Markov Equivalence Classes via Independence Query Oracles. CoRR Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler
2024	A*	`conf`	Removing Biases from Molecular Representations via Information Maximization. ICLR Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola
2024	J	`jnl`	Season combinatorial intervention predictions with Salt & Peper. CoRR Thomas Gaudelet, Alice Del Vecchio, Eli M. Carrami, Juliana Cudini, Chantriolnt-Andreas Kapourani, Caroline Uhler, Lindsay Edwards
2024	J	`jnl`	Synthetic Potential Outcomes for Mixtures of Treatment Effects. CoRR Bijan Mazaheri, Chandler Squires, Caroline Uhler
2023	J	`jnl`	Active learning for optimal intervention design in causal models. Nat. Mac. Intell. Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
2023	J	`jnl`	Causal Structure Learning: A Combinatorial Perspective. Found. Comput. Math. Chandler Squires, Caroline Uhler
2023	A*	`conf`	Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS Jiaqi Zhang, Kristjan H. Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
2023	J	`jnl`	Identifiability Guarantees for Causal Disentanglement from Soft Interventions. CoRR Jiaqi Zhang, Chandler Squires, Kristjan H. Greenewald, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
2023	A*	`conf`	Linear Causal Disentanglement via Interventions. ICML Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler
2023	A*	`conf`	Meek Separators and Their Applications in Targeted Causal Discovery. NeurIPS Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
2023	J	`jnl`	Meek Separators and Their Applications in Targeted Causal Discovery. CoRR Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
2023	J	`jnl`	Removing Biases from Molecular Representations via Information Maximization. CoRR Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola
2023	A*	`conf`	Unpaired Multi-Domain Causal Representation Learning. NeurIPS Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
2023	J	`jnl`	Unpaired Multi-Domain Causal Representation Learning. CoRR Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
2023	A*	`conf`	Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation. NeurIPS Wengong Jin, Siranush Sarkizova, Xun Chen, Nir Hacohen, Caroline Uhler
2023	J	`jnl`	Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation. CoRR Wengong Jin, Siranush Sarkizova, Xun Chen, Nir Hacohen, Caroline Uhler
2022	—	`ed.`	1st Conference on Causal Learning and Reasoning, CLeaR 2022, Sequoia Conference Center, Eureka, CA, USA, 11-13 April, 2022 CLeaR Bernhard Schölkopf, Caroline Uhler, Kun Zhang
2022	J	`jnl`	Active Learning for Optimal Intervention Design in Causal Models. CoRR Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
2022	—	`conf`	Causal Imputation via Synthetic Interventions. CLeaR Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
2022	—	`conf`	Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler
2022	J	`jnl`	Causal Structure Learning: a Combinatorial Perspective. CoRR Chandler Squires, Caroline Uhler
2022	J	`jnl`	Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry. SIAM J. Math. Data Sci. Anastasiya Belyaeva, Kaie Kubjas, Lawrence J. Sun, Caroline Uhler
2022	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2022	J	`jnl`	Linear Causal Disentanglement via Interventions. CoRR Anna Seigal, Chandler Squires, Caroline Uhler
2022	J	`jnl`	Machine Learning Approaches to Single-Cell Data Integration and Translation. Proc. IEEE Caroline Uhler, G. V. Shivashankar
2022	J	`jnl`	Multiscale simulations of complex systems by learning their effective dynamics. Nat. Mach. Intell. Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos
2022	J	`jnl`	Publisher Correction: Geometry of Log-Concave Density Estimation. Discret. Comput. Geom. Elina Robeva, Bernd Sturmfels, Caroline Uhler
2022	J	`jnl`	Transfer Learning with Kernel Methods. CoRR Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler
2022	J	`jnl`	Wide and Deep Neural Networks Achieve Optimality for Classification. CoRR Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2021	J	`jnl`	A Mechanism for Producing Aligned Latent Spaces with Autoencoders. CoRR Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
2021	J	`jnl`	DCI: learning causal differences between gene regulatory networks. Bioinform. Anastasiya Belyaeva, Chandler Squires, Caroline Uhler
2021	J	`jnl`	Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size. CoRR Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2021	A*	`conf`	Matching a Desired Causal State via Shift Interventions. NeurIPS Jiaqi Zhang, Chandler Squires, Caroline Uhler
2021	J	`jnl`	Matching a Desired Causal State via Shift Interventions. CoRR Jiaqi Zhang, Chandler Squires, Caroline Uhler
2021	A*	`conf`	Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis. CVPR Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
2021	A*	`conf`	Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning. NeurIPS Scott Sussex, Caroline Uhler, Andreas Krause
2021	J	`jnl`	Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning. CoRR Scott Sussex, Andreas Krause, Caroline Uhler
2021	J	`jnl`	Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks. CoRR Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler
2020	A	`conf`	Anchored Causal Inference in the Presence of Measurement Error. UAI Basil Saeed, Anastasiya Belyaeva, Yuhao Wang, Caroline Uhler
2020	J	`jnl`	Balancedness and Alignment are Unlikely in Linear Neural Networks. CoRR Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Irving Bernstein, Caroline Uhler
2020	J	`jnl`	Brownian motion tree models are toric. Kybernetika Bernd Sturmfels, Caroline Uhler, Piotr Zwiernik
2020	A*	`conf`	Causal Structure Discovery from Distributions Arising from Mixtures of DAGs. ICML Basil Saeed, Snigdha Panigrahi, Caroline Uhler
2020	J	`jnl`	Causal Structure Discovery from Distributions Arising from Mixtures of DAGs. CoRR Basil Saeed, Snigdha Panigrahi, Caroline Uhler
2020	J	`jnl`	Do Deeper Convolutional Networks Perform Better? CoRR Eshaan Nichani, Adityanarayanan Radhakrishnan, Caroline Uhler
2020	J	`jnl`	Efficient Permutation Discovery in Causal DAGs. CoRR Chandler Squires, Joshua Amaniampong, Caroline Uhler
2020	J	`jnl`	Improved Conditional Flow Models for Molecule to Image Synthesis. CoRR Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
2020	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2020	A	`conf`	Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters. AISTATS Yuhao Wang, Uma Roy, Caroline Uhler
2020	J	`jnl`	Learning the Effective Dynamics of Complex Multiscale Systems. CoRR Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos
2020	J	`jnl`	Linear Convergence and Implicit Regularization of Generalized Mirror Descent with Time-Dependent Mirrors. CoRR Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2020	J	`jnl`	Optimal Transport using GANs for Lineage Tracing. CoRR Neha Prasad, Karren D. Yang, Caroline Uhler
2020	A	`conf`	Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
2020	J	`jnl`	Overparameterized neural networks implement associative memory. Proc. Natl. Acad. Sci. USA Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2020	A	`conf`	Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI Chandler Squires, Yuhao Wang, Caroline Uhler
2020	J	`jnl`	Predicting cell lineages using autoencoders and optimal transport. PLoS Comput. Biol. Karren D. Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali Soylemezoglu, G. V. Shivashankar, Caroline Uhler
2019	A	`conf`	ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler
2019	J	`jnl`	Geometry of Log-Concave Density Estimation. Discret. Comput. Geom. Elina Robeva, Bernd Sturmfels, Caroline Uhler
2019	J	`jnl`	Geometry of discrete copulas. J. Multivar. Anal. Elisa Perrone, Liam Solus, Caroline Uhler
2019	J	`jnl`	Multi-Domain Translation by Learning Uncoupled Autoencoders. CoRR Karren D. Yang, Caroline Uhler
2019	J	`jnl`	Ordering-Based Causal Structure Learning in the Presence of Latent Variables. CoRR Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
2019	J	`jnl`	Overparameterized Neural Networks Can Implement Associative Memory. CoRR Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2019	—	`conf`	Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. ICLR (Poster) Karren D. Yang, Caroline Uhler
2019	J	`jnl`	Size of Interventional Markov Equivalence Classes in Random DAG Models. CoRR Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
2019	A	`conf`	Size of Interventional Markov Equivalence Classes in random DAG models. AISTATS Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
2018	A*	`conf`	Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions. ICML Karren D. Yang, Abigail Katoff, Caroline Uhler
2018	J	`jnl`	Counting Markov equivalence classes for DAG models on trees. Discret. Appl. Math. Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler
2018	A*	`conf`	Direct Estimation of Differences in Causal Graphs. NeurIPS Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler
2018	J	`jnl`	Downsampling leads to Image Memorization in Convolutional Autoencoders. CoRR Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
2018	J	`jnl`	Generalized Permutohedra from Probabilistic Graphical Models. SIAM J. Discret. Math. Fatemeh Mohammadi, Caroline Uhler, Charles Wang, Josephine Yu
2018	A*	`conf`	Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models. ICML Raj Agrawal, Caroline Uhler, Tamara Broderick
2018	J	`jnl`	Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models. CoRR Raj Agrawal, Tamara Broderick, Caroline Uhler
2018	J	`jnl`	Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. CoRR Karren D. Yang, Caroline Uhler
2017	A	`conf`	Counting Markov Equivalence Classes by Number of Immoralities. UAI Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler
2017	Misc	`conf`	Joint inference of networks from stationary graph signals. ACSSC Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques
2017	—	`conf`	Network Analysis Identifies Regulatory Hotspots in Regions of Chromosome Interactions. BCB Anastasiya Belyaeva, Saradha Venkatachalapathy, Mallika Nagarajan, G. V. Shivashankar, Caroline Uhler
2017	J	`jnl`	Patchnet: Interpretable Neural Networks for Image Classification. CoRR Adityanarayanan Radhakrishnan, Charles Durham, Ali Soylemezoglu, Caroline Uhler
2017	—	`conf`	Permutation-based Causal Inference Algorithms with Interventions. NIPS Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler
2015	J	`jnl`	Faithfulness and learning hypergraphs from discrete distributions. Comput. Stat. Data Anal. Anna Klimova, Caroline Uhler, Tamás Rudas
2014	C	`conf`	Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. Privacy in Statistical Databases Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg
2014	J	`jnl`	Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. CoRR Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg
2014	J	`jnl`	Hypersurfaces and Their Singularities in Partial Correlation Testing. Found. Comput. Math. Shaowei Lin, Caroline Uhler, Bernd Sturmfels, Peter Bühlmann
2014	J	`jnl`	Scalable privacy-preserving data sharing methodology for genome-wide association studies. J. Biomed. Informatics Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
2014	—	`conf`	Sphere Packing with Limited Overlap. CCCG Mabel Iglesias Ham, Michael Kerber, Caroline Uhler
2014	J	`jnl`	Sphere Packing with Limited Overlap. CoRR Mabel Iglesias Ham, Michael Kerber, Caroline Uhler
2013	J	`jnl`	Learning directed acyclic graphs based on sparsest permutations. CoRR Garvesh Raskutti, Caroline Uhler
2013	J	`jnl`	Packing Ellipsoids with Overlap. SIAM Rev. Caroline Uhler, Stephen J. Wright
2013	J	`jnl`	Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
2012	J	`jnl`	Privacy-Preserving Data Sharing for Genome-Wide Association Studies CoRR Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
2011	—	`conf`	Privacy Preserving GWAS Data Sharing. ICDM Workshops Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler