Published in ICML Workshop on Efficient Systems for Foundation Models, 2025
Tran, Ba-Hien; Nguyen, Van Minh. Ultra-Efficient and Effective Large Language Models with Multi-Boolean Architectures. ICML Workshop on Efficient Systems for Foundation Models, 2025.
Published in ArXiv, 2025
Tran, Ba-Hien; Nguyen, Van Minh. Highly Efficient and Effective LLMs with Multi-Boolean Architectures. ArXiv preprint, 2025.
Published in ArXiv, 2025
Matymov Madi; Tran, Ba-Hien; Kampffmeyer, Michael; Heinonen, Markus; Filippone, Maurizio. Optimizing Data Augmentation through Bayesian Model Selection. ArXiv preprint, 2025.
Published in AISTATS, 2025
Heinonen, Markus; Tran, Ba-Hien; Kampffmeyer, Michael; Filippone, Maurizio. Robust Classification by Coupling Data Mollification with Label Smoothing. In International Conference on Artificial Intelligence and Statistics, 2025.
Published in NeurIPS, 2024
Nguyen, Van Minh; Ocampo, Cristian; Askri, Aymen; Leconte, Louis; Tran, Ba-Hien. BOLD: Boolean Logic Deep Learning. In Advances in Neural Information Processing Systems, 2024.
Published in ICML Workshop on Structured Probabilistic Inference and Generative Modeling, 2024
Nguyen, Van Minh; Ocampo, Cristian; Askri, Aymen; Leconte, Louis; Tran, Ba-Hien. Boolean Logic for Low-Energy Deep Learning. ICML Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization, 2024.
Published in Spatial Statistics, 2024
Zammit-Mangion, Andrew; Kaminski, D. Michael; Tran, Ba-Hien; Filippone, Maurizio; Cressie, Noel. Spatial Bayesian Neural Networks. In Spatial Statistics, Volume 60, 2024.
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.
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.