Ba-Hien Tran

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran
BOLD: Boolean Logic Deep Learning. CoRR (2024)
Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
Robust Classification by Coupling Data Mollification with Label Smoothing. CoRR (2024)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS (2023)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR (2023)
Andrew Zammit Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie
Spatial Bayesian Neural Networks. CoRR (2023)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML (2023)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR (2023)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
All You Need is a Good Functional Prior for Bayesian Deep Learning. J. Mach. Learn. Res. 23 (2022)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. CoRR (2021)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. NeurIPS (2021)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
All You Need is a Good Functional Prior for Bayesian Deep Learning. CoRR (2020)