Published in NeurIPS, 2023
Tran, Ba-Hien; Franzese, Giulio; Michiardi, Pietro; Filippone, Maurizio. One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. In Advances in Neural Information Processing Systems, 2023 (to appear).
Published in ICML Workshop on Structured Probabilistic Inference and Generative Modeling, 2023
Tran, Ba-Hien; Franzese, Giulio; Michiardi, Pietro; Filippone, Maurizio. Improving Training of Likelihood-based Generative Models with Gaussian Homotopy. ICML Workshop on Structured Probabilistic Inference and Generative Modeling, 2023.
Published in ICML, 2023
Tran, Ba-Hien; Shahbaba, Babak; Mandt, Stephan; Filippone, Maurizio. Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. International Conference on Machine Learning, 2023.
Published in JMLR, 2022
Tran, Ba-Hien; Rossi, Simone; Milios, Dimitrios; Filippone, Maurizio. All You Need is a Good Functional Prior for Bayesian Deep Learning. Journal of Machine Learning Research, 2022.
Published in NeurIPS, 2021
Tran, Ba-Hien; Rossi, Simone; Milios, Dimitrios; Michiardi, Pietro; V. Bonilla, Edwin; Filippone, Maurizio. Model Selection for Bayesian Autoencoders. In Advances in Neural Information Processing Systems, 2021.
Published in Symposium on Advances in Approximate Bayesian Inference, 2021
Tran, Ba-Hien; Milios, Dimitrios; Rossi, Simone; Filippone, Maurizio. Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes. 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.