David I. Inouye

Orcid: 0000-0003-4493-3358

Affiliations:
  • Purdue University, USA
  • University of Texas at Austin, Department of Computer Science (Ph.D)


According to our database1, David I. Inouye authored at least 33 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data.
CoRR, 2024

Towards Practical Non-Adversarial Distribution Matching.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Fault-Tolerant Vertical Federated Learning on Dynamic Networks.
CoRR, 2023

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds.
CoRR, 2023

Benchmarking Algorithms for Federated Domain Generalization.
CoRR, 2023

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models.
CoRR, 2023

Towards Enhanced Controllability of Diffusion Models.
CoRR, 2023

Towards Explaining Distribution Shifts.
Proceedings of the International Conference on Machine Learning, 2023

Efficient Federated Domain Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Discrete Tree Flows via Tree-Structured Permutations.
CoRR, 2022

Cooperative Distribution Alignment via JSD Upper Bound.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discrete Tree Flows via Tree-Structured Permutations.
Proceedings of the International Conference on Machine Learning, 2022

Towards Explaining Image-Based Distribution Shifts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Iterative Alignment Flows.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Iterative Barycenter Flows.
CoRR, 2021

Shapley Explanation Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Exploring Adversarial Examples via Invertible Neural Networks.
CoRR, 2020

StyleUV: Diverse and High-fidelity UV Map Generative Model.
CoRR, 2020

Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline.
CoRR, 2020

Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America.
Int. J. Appl. Earth Obs. Geoinformation, 2020

Automated Dependence Plots.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Diagnostic Curves for Black Box Models.
CoRR, 2019

How Sensitive are Sensitivity-Based Explanations?
CoRR, 2019

On the (In)fidelity and Sensitivity of Explanations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Deep Density Destructors.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Summarization of Twitter Microblogs.
Comput. J., 2014

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Admixture of Poisson MRFs: A Topic Model with Word Dependencies.
Proceedings of the 31th International Conference on Machine Learning, 2014

2011
Comparing Twitter Summarization Algorithms for Multiple Post Summaries.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011


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