Hung Bui

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset.

[BibT_eX]

[DOI]

Hung Bui

Harikrishna Warrier

Yogesh Gupta

CoRR, 2024

2022

ARNS: A Data-Driven Approach for SoH Estimation of Lithium-Ion Battery Using Nested Sequence Models With Considering Relaxation Effect.

[BibT_eX]

[DOI]

IEEE Access, 2022

On Transportation of Mini-batches: A Hierarchical Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

On efficient multilevel Clustering via Wasserstein distances.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment.

[BibT_eX]

[DOI]

CoRR, 2021

On Label Shift in Domain Adaptation via Wasserstein Distance.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout.

[BibT_eX]

[DOI]

CoRR, 2021

On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation.

[BibT_eX]

[DOI]

CoRR, 2021

BoMb-OT: On Batch of Mini-batches Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2021

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structured Dropout Variational Inference for Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Robust Optimal Transport: Computational Complexity and Barycenter Computation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Temporal Predictive Coding For Model-Based Planning In Latent Space.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

LAMDA: Label Matching Deep Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.

[BibT_eX]

[DOI]

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

Distributional Sliced-Wasserstein and Applications to Generative Modeling.

[BibT_eX]

[DOI]

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

Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning Generative Adversarial Networks from Multiple Data Sources.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Three-Player Wasserstein GAN via Amortised Duality.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

The Context-Dependent Additive Recurrent Neural Net.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Large-scale Online Kernel Learning with Random Feature Reparameterization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2009

Application of Empirical Mode Decomposition to the Arrival Time Characterization of a Parallel Batch System Using System Logs.

[BibT_eX]

Proceedings of the 2009 International Conference on Modeling, 2009

Hung Bui

Bibliography

Loading...