Ba-Hien Tran

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Classification by Coupling Data Mollification with Label Smoothing.

Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone

CoRR, 2024

BOLD: Boolean Logic Deep Learning.

Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran

CoRR, 2024

2023

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

Ba-Hien Tran

PhD thesis, 2023

Spatial Bayesian Neural Networks.

Andrew Zammit-Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie

CoRR, 2023

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models.

Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

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.

Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone

Proceedings of the International Conference on Machine Learning, 2023

2022

All You Need is a Good Functional Prior for Bayesian Deep Learning.

Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone

J. Mach. Learn. Res., 2022

2021

Model Selection for Bayesian Autoencoders.

Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone

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