Publications

From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching

Preprint, 2025.

Preprint PDF Project Project

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention

arXiv preprint, 2025.

Preprint Demo Project Code

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization

International Conference on Machine Learning (ICML), 2025.

Preprint Project Code

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

International Converence on Computer Vision (ICCV), 2025.

Preprint Project Code

Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments

The 26th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2025), 2025.

Preprint PDF Project

Counterfactual Fairness by Combining Factual and Counterfactual Predictions

Neural Information Processing Systems (NeurIPS), 2024.

Preprint Project Code

Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods

European Conference on Computer Vision (ECCV), 2024.

Preprint Project

Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions

Uncertainty in Artificial Intelligence (UAI), 2024.

PDF Project Code

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models

International Conference on Learning Representations (ICLR), 2024.

Preprint PDF Project Code

Benchmarking Algorithms for Federated Domain Generalization

International Conference on Learning Representations (ICLR) (Spotlight paper, 5% acceptance), 2024.

Preprint PDF Project Project Code

Towards Practical Non-Adversarial Distribution Matching

International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

Preprint PDF Project

Towards Explaining Distribution Shifts

International Conference on Machine Learning (ICML), 2023.

Preprint PDF Project Project Code

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

PDF Project Project Code

Efficient Federated Domain Translation

International Conference on Learning Representations (ICLR), 2023.

PDF Project Project Code

Cooperative Distribution Alignment via JSD Upper Bound

Neural Information Processing Systems (NeurIPS), 2022.

PDF Project Code

Discrete Tree Flows via Tree-Structured Permutations

International Conference on Machine Learning (ICML), 2022.

PDF Project Code

Towards Explaining Image-Based Distribution Shifts

CVPR Workshop on Vision Datasets Understanding, 2022.

PDF Project

Iterative Alignment Flows

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

PDF Project Project Code

Shapley Explanation Networks

International Conference on Learning Representations (ICLR), 2021.

PDF Project Code

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests

Neural Information Processing Systems (NeurIPS), 2020.

PDF Project Project Code

Automated Dependence Plots

Uncertainty in Artificial Intelligence (UAI), 2020.

PDF Project Code

On the (In)fidelity and Sensitivity of Explanations

Neural Information Processing Systems (NeurIPS), 2019.

PDF Project Code

Deep Point Process Destructors

NeurIPS Workshop on Learning with Temporal Point Processes, 2019.

Project

Deep Density Destructors

International Conference on Machine Learning (ICML), 2018.

PDF Project Code

Hyperparameter Selection under Localized Label Noise via Corrupt Validation

Learning with Limited Labeled Data (NeurIPS Workshop), 2017.

PDF Code

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution

Wiley Interdisciplinary Reviews: Computational Statistics, 2017.

Preprint PDF Code

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

International Conference on Machine Learning (ICML), 2016.

PDF Poster Code

Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial

Neural Information Processing Systems (NeurIPS), 2015.

PDF Poster Code

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs

Neural Information Processing Systems (NeurIPS), 2014.

PDF Poster Code

Summarization of Twitter Microblogs

Computer Journal, 2014.

PDF DOI

Admixture of Poisson MRFs: A Topic Model with Word Dependencies

International Conference on Machine Learning (ICML), 2014.

PDF Poster Slides Code

Towards Undistorted and Noise-free Speech in an MRI Scanner: Correlation Subtraction Followed by Spectral Noise Gating

The Journal of the Acoustical Society of America, 2014.

PDF DOI

Comparing Twitter Summarization Algorithms for Multiple Post Summaries

IEEE International Conference on Social Computing (SocialCom), 2011.

PDF DOI