Inouye, David I.

24 publications

ICCV 2025 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

ICML 2025 Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Ziyu Gong, Jim Lim, David I. Inouye

ICLR 2024 Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai, Saurabh Bagchi, David I. Inouye

NeurIPS 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye

NeurIPSW 2024 Decoupling Vertical Federated Learning Using Local Self-Supervision Avi Amalanshu, Yash Sirvi, David I. Inouye

ICLRW 2024 Improving Practical Counterfactual Fairness with Limited Causal Knowledge Zeyu Zhou, Ruqi Bai, David I. Inouye

ICLR 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye

AISTATS 2024 Towards Practical Non-Adversarial Distribution Matching Ziyu Gong, Ben Usman, Han Zhao, David I Inouye

ICLR 2023 Efficient Federated Domain Translation Zeyu Zhou, Sheikh Shams Azam, Christopher Brinton, David I. Inouye

ICMLW 2023 Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks Surojit Ganguli, Avi Amalanshu, Amritanshu Ranjan, David I. Inouye

CVPR 2023 StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

NeurIPSW 2023 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye

ICML 2023 Towards Explaining Distribution Shifts Sean Kulinski, David I. Inouye

AISTATS 2022 Iterative Alignment Flows Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye

NeurIPS 2022 Cooperative Distribution Alignment via JSD Upper Bound Wonwoong Cho, Ziyu Gong, David I Inouye

ICML 2022 Discrete Tree Flows via Tree-Structured Permutations Mai Elkady, Jim Lim, David I. Inouye

CVPRW 2022 Towards Explaining Image-Based Distribution Shifts Sean Kulinski, David I. Inouye

ICMLW 2021 Discrete Tree Flows via Tree-Structured Permutations Mai Elkady, Jim Lim, David I. Inouye

ICLR 2021 Shapley Explanation Networks Rui Wang, Xiaoqian Wang, David I. Inouye

ICMLW 2021 Why Be Adversarial? Let's Cooperate!: Cooperative Dataset Alignment via JSD Upper Bound Wonwoong Cho, Ziyu Gong, David I. Inouye

NeurIPS 2020 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests Sean Kulinski, Saurabh Bagchi, David I Inouye

NeurIPS 2019 On the (In)fidelity and Sensitivity of Explanations Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Suggala, David I Inouye, Pradeep K Ravikumar

NeurIPS 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon

NeurIPS 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon