David I. Inouye

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 35

Top Topics

Diffusion Model

Dynamic Networks

Conditional Distribution

Spatial Reasoning

Top Venues

Publications

Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models. ICLR (2024)
Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
Towards Practical Non-Adversarial Distribution Matching. AISTATS (2024)
Avi Amalanshu, Yash Sirvi, David I. Inouye
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data. CoRR (2024)
Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CoRR (2024)
Ruqi Bai, Saurabh Bagchi, David I. Inouye
Benchmarking Algorithms for Federated Domain Generalization. ICLR (2024)
Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds. CoRR (2023)
Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CVPR (2023)
Surojit Ganguli, Zeyu Zhou, Christopher G. Brinton, David I. Inouye
Fault-Tolerant Vertical Federated Learning on Dynamic Networks. CoRR (2023)
Sean Kulinski, David I. Inouye
Towards Explaining Distribution Shifts. ICML (2023)
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
Towards Enhanced Controllability of Diffusion Models. CoRR (2023)
Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye
Efficient Federated Domain Translation. ICLR (2023)
Ruqi Bai, Saurabh Bagchi, David I. Inouye
Benchmarking Algorithms for Federated Domain Generalization. CoRR (2023)
Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models. CoRR (2023)
Mai Elkady, Hyung Zin Lim, David I. Inouye
Discrete Tree Flows via Tree-Structured Permutations. ICML (2022)
Sean Kulinski, David I. Inouye
Towards Explaining Image-Based Distribution Shifts. CVPR Workshops (2022)
Mai Elkady, Jim Lim, David I. Inouye
Discrete Tree Flows via Tree-Structured Permutations. CoRR (2022)
Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye
Iterative Alignment Flows. AISTATS (2022)
Sean Kulinski, David I. Inouye
Towards Explaining Distribution Shifts. CoRR (2022)
Wonwoong Cho, Ziyu Gong, David I. Inouye
Cooperative Distribution Alignment via JSD Upper Bound. CoRR (2022)
Wonwoong Cho, Ziyu Gong, David I. Inouye
Cooperative Distribution Alignment via JSD Upper Bound. NeurIPS (2022)
Sean Kulinski, Saurabh Bagchi, David I. Inouye
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. CoRR (2021)
David I. Inouye, Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar
Iterative Barycenter Flows. CoRR (2021)
Rui Wang, Xiaoqian Wang, David I. Inouye
Shapley Explanation Networks. ICLR (2021)
Rui Wang, Xiaoqian Wang, David I. Inouye
Shapley Explanation Networks. CoRR (2021)
Myunggi Lee, Wonwoong Cho, Moonheum Kim, David I. Inouye, Nojun Kwak
StyleUV: Diverse and High-fidelity UV Map Generative Model. CoRR (2020)
Wonwoong Cho, Inyeop Lee, David I. Inouye
Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline. CoRR (2020)
Donal O'Leary III, David I. Inouye, Ralph Dubayah, Chengquan Huang, George C. Hurtt
Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America. Int. J. Appl. Earth Obs. Geoinformation 89 (2020)
Ruqi Bai, Saurabh Bagchi, David I. Inouye
Exploring Adversarial Examples via Invertible Neural Networks. CoRR (2020)
Sean Kulinski, Saurabh Bagchi, David I. Inouye
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. NeurIPS (2020)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Automated Dependence Plots. UAI (2020)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Diagnostic Curves for Black Box Models. CoRR (2019)
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
On the (In)fidelity and Sensitivity of Explanations. NeurIPS (2019)
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
How Sensitive are Sensitivity-Based Explanations? CoRR (2019)
David I. Inouye, Pradeep Ravikumar
Deep Density Destructors. ICML (2018)
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies. ICML (2016)
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial. NIPS (2015)
Beaux Sharifi, David I. Inouye, Jugal K. Kalita
Summarization of Twitter Microblogs. Comput. J. 57 (3) (2014)
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
Admixture of Poisson MRFs: A Topic Model with Word Dependencies. ICML (2014)
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs. NIPS (2014)
David I. Inouye, Jugal K. Kalita
Comparing Twitter Summarization Algorithms for Multiple Post Summaries. SocialCom/PASSAT (2011)