Ba-Hien Tran

According to our database1, Ba-Hien Tran authored at least 8 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Robust Classification by Coupling Data Mollification with Label Smoothing.
CoRR, 2024

BOLD: Boolean Logic Deep Learning.
CoRR, 2024

2023
Advancing Bayesian Deep Learning: Sensible Priors and Accelerated Inference. (Faire progresser l'apprentissage profond bayésien: priors sensibles et inférence accélérée).
PhD thesis, 2023

Spatial Bayesian Neural Networks.
CoRR, 2023

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes.
Proceedings of the International Conference on Machine Learning, 2023

2022
All You Need is a Good Functional Prior for Bayesian Deep Learning.
J. Mach. Learn. Res., 2022

2021
Model Selection for Bayesian Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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