Ba-Hien Tran

1. All You Need is a Good Functional Prior for Bayesian Deep Learning
   2020/11/25 by Ba-Hien Tran, Tran, Ba-Hien, Simone Rossi +5 · 15 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
2. BOLD: Boolean Logic Deep Learning
   2024/05/25 by Van Minh Nguyen, Văn Minh Nguyễn, C. A. Montoya Ocampo +9 · 1 voice · 2 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.LG #stat.ML
3. Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
   2023/02/09 by Ba-Hien Tran, Tran, Ba-Hien, Babak Shahbaba +5 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
4. Model Selection for Bayesian Autoencoders
   2021/06/11 by Ba-Hien Tran, Tran, Ba-Hien, Simone Rossi +9 · 2 citations
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
   2023/05/30 by Ba-Hien Tran, Giulio Franzese, Tran, Ba-Hien +5 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Single-cell and spatial transcriptomics