Tran, Ba-Hien

8 publications

AISTATS 2025 Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone

NeurIPS 2024 BOLD: Boolean Logic Deep Learning Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran

ICMLW 2024 Boolean Logic for Low-Energy Deep Learning Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Ba-Hien Tran

ICML 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone

ICMLW 2023 Improving Training of Likelihood-Based Generative Models with Gaussian Homotopy Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

NeurIPS 2023 One-Line-of-Code Data Mollification Improves Optimization of Likelihood-Based Generative Models Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

JMLR 2022 All You Need Is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone

NeurIPS 2021 Model Selection for Bayesian Autoencoders Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone