| 2026 | ISIT | Flow-based Generative Modeling of Potential Outcomes and Counterfactuals. | Dongze Wu, Yao Xie, David I. Inouye |
| 2025 | ICCV | Att-Adapter: a Robust and Precise Domain-Specific Multi-Attributes T2i Diffusion Adapter Via Conditional Variational Autoencoder. | Wonwoong Cho, Yan-Ying Chen, Matthew Klenk, David I. Inouye, Yanxia Zhang |
| 2025 | ICML | Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization. | Ziyu Gong, Jim Lim, David I. Inouye |
| 2025 | MOBIHOC | Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments. | Surojit Ganguli, Zeyu Zhou, Christopher Brinton, David I. Inouye |
| 2024 | AISTATS | Towards Practical Non-Adversarial Distribution Matching. | Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye |
| 2024 | ECCV | Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods. | Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale |
| 2024 | ICLR | Benchmarking Algorithms for Federated Domain Generalization. | Ruqi Bai, Saurabh Bagchi, David I. Inouye |
| 2024 | ICLR | Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models. | Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye |
| 2024 | UAI | Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. | Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye |
| 2023 | CVPR | StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. | Sean Kulinski, Nicholas R. Waytowich, James Zachary Hare, David I. Inouye |
| 2023 | ICLR | Efficient Federated Domain Translation. | Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye |
| 2023 | ICML | Towards Explaining Distribution Shifts. | Sean Kulinski, David I. Inouye |
| 2022 | AISTATS | Iterative Alignment Flows. | Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye |
| 2022 | CVPR | Towards Explaining Image-Based Distribution Shifts. | Sean Kulinski, David I. Inouye |
| 2022 | ICML | Discrete Tree Flows via Tree-Structured Permutations. | Mai Elkady, Hyung Zin Lim, David I. Inouye |
| 2021 | ICLR | Shapley Explanation Networks. | Rui Wang, Xiaoqian Wang, David I. Inouye |
| 2020 | UAI | Automated Dependence Plots. | David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar |
| 2018 | ICML | Deep Density Destructors. | David I. Inouye, Pradeep Ravikumar |
| 2016 | ICML | Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies. | David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2014 | ICML | Admixture of Poisson MRFs: A Topic Model with Word Dependencies. | David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon |