David I. Inouye
Purdue University
H-index: 11
North America-United States
Top articles of David I. Inouye
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data | arXiv preprint arXiv:2403.03871 | Avi Amalanshu Yash Sirvi David I Inouye | 2024/3/6 |
Towards Practical Non-Adversarial Distribution Matching | Ziyu Gong Ben Usman Han Zhao David I Inouye | 2024/4/18 | |
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models | arXiv preprint arXiv:2306.11281 | Sean Kulinski Zeyu Zhou Ruqi Bai Murat Kocaoglu David I Inouye | 2023/6/20 |
Towards enhanced controllability of diffusion models | arXiv preprint arXiv:2302.14368 | Wonwoong Cho Hareesh Ravi Midhun Harikumar Vinh Khuc Krishna Kumar Singh | 2023/2/28 |
Fault-Tolerant Vertical Federated Learning on Dynamic Networks | arXiv preprint arXiv:2312.16638 | Surojit Ganguli Zeyu Zhou Christopher G Brinton David I Inouye | 2023/12/27 |
Starcraftimage: A dataset for prototyping spatial reasoning methods for multi-agent environments | Sean Kulinski Nicholas R Waytowich James Z Hare David I Inouye | 2023 | |
Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks | Surojit Ganguli Avi Amalanshu Amritanshu Ranjan David I Inouye | 2023/7/17 | |
Efficient federated domain translation | International Conference on Learning Representations | Zeyu Zhou Sheikh Shams Azam Christopher Brinton David I Inouye | 2023/1 |
Benchmarking Algorithms for Federated Domain Generalization | arXiv preprint arXiv:2307.04942 | Ruqi Bai Saurabh Bagchi David I Inouye | 2023/7/11 |
Towards explaining distribution shifts | Sean Kulinski David I Inouye | 2023/7/3 | |
Benchmarking Algorithms for Domain Generalization in Federated Learning | Ruqi Bai Saurabh Bagchi David I Inouye | 2022/9/29 | |
Discrete tree flows via tree-structured permutations | Mai Elkady Hyung Zin Lim David I Inouye | 2022/6/28 | |
Iterative alignment flows | Zeyu Zhou Ziyu Gong Pradeep Ravikumar David I Inouye | 2022/5/3 | |
Towards Explaining Image-Based Distribution Shifts | Sean Kulinski David I Inouye | 2022 | |
Cooperative distribution alignment via jsd upper bound | Advances in Neural Information Processing Systems | Wonwoong Cho Ziyu Gong David I Inouye | 2022/12/6 |
Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound | Wonwoong Cho Ziyu Gong David I Inouye | 2021/10/6 | |
Shapley Explanation Networks | arXiv preprint arXiv:2104.02297 | Rui Wang Xiaoqian Wang David I Inouye | 2021/4/6 |
Resilience to Multiple Attacks via Adversarially Trained MIMO Ensembles | Ruqi Bai David I Inouye Saurabh Bagchi | 2021/10/6 | |
Styleuv: Diverse and high-fidelity uv map generative model | arXiv preprint arXiv:2011.12893 | Myunggi Lee Wonwoong Cho Moonheum Kim David Inouye Nojun Kwak | 2020/11/25 |
Exploring Adversarial Examples via Invertible Neural Networks | arXiv preprint arXiv:2012.13111 | Ruqi Bai Saurabh Bagchi David I Inouye | 2020/12/24 |
Co-Authors
