David I. Inouye

CoRR, 2024

Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Benchmarking Algorithms for Federated Domain Generalization.

[BibT_eX]

[DOI]

Ruqi Bai

Saurabh Bagchi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Practical Non-Adversarial Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Fault-Tolerant Vertical Federated Learning on Dynamic Networks.

[BibT_eX]

[DOI]

Surojit Ganguli

Zeyu Zhou

Christopher G. Brinton

CoRR, 2023

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Enhanced Controllability of Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Explaining Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Efficient Federated Domain Translation.

[BibT_eX]

[DOI]

Zeyu Zhou

Sheikh Shams Azam

Christopher G. Brinton

Proceedings of the Eleventh International Conference on Learning Representations, 2023

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments.

[BibT_eX]

[DOI]

Nicholas R. Waytowich

James Z. Hare

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Discrete Tree Flows via Tree-Structured Permutations.

[BibT_eX]

[DOI]

Mai Elkady

Jim Lim

CoRR, 2022

Cooperative Distribution Alignment via JSD Upper Bound.

[BibT_eX]

[DOI]

Wonwoong Cho

Ziyu Gong

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.

[BibT_eX]

[DOI]

Mai Elkady

Hyung Zin Lim

Proceedings of the International Conference on Machine Learning, 2022

Towards Explaining Image-Based Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Iterative Alignment Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Iterative Barycenter Flows.

[BibT_eX]

[DOI]

CoRR, 2021

Shapley Explanation Networks.

[BibT_eX]

[DOI]

Rui Wang

Xiaoqian Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Exploring Adversarial Examples via Invertible Neural Networks.

[BibT_eX]

[DOI]

Ruqi Bai

Saurabh Bagchi

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline.

[BibT_eX]

[DOI]

Wonwoong Cho

Inyeop Lee

CoRR, 2020

Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2020

Automated Dependence Plots.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests.

[BibT_eX]

[DOI]

Saurabh Bagchi

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.

[BibT_eX]

[DOI]

CoRR, 2019

How Sensitive are Sensitivity-Based Explanations?

[BibT_eX]

[DOI]

CoRR, 2019

On the (In)fidelity and Sensitivity of Explanations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Density Destructors.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Summarization of Twitter Microblogs.

[BibT_eX]

[DOI]

Beaux Sharifi

Jugal K. Kalita

Comput. J., 2014

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

Comparing Twitter Summarization Algorithms for Multiple Post Summaries.

[BibT_eX]

[DOI]