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Ba-Hien Tran
Ba-Hien Tran
Huawei Paris Research Center
在 huawei.com 的电子邮件经过验证 - 首页
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引用次数
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All you need is a good functional prior for Bayesian deep learning
BH Tran, S Rossi, D Milios, M Filippone
Journal of Machine Learning Research 23 (74), 1-56, 2022
552022
Model Selection for Bayesian Autoencoders
BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone
Advances in Neural Information Processing Systems 34, 2021
132021
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
BH Tran, B Shahbaba, S Mandt, M Filippone
International Conference on Machine Learning, 34409--34430, 2023
32023
Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes
BH Tran, D Milios, S Rossi, M Filippone
3rd Symposium on Advances in Approximate Bayesian Inference, 2021
22021
Spatial Bayesian neural networks
A Zammit-Mangion, MD Kaminski, BH Tran, M Filippone, N Cressie
Spatial Statistics, 100825, 2024
12024
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
BH Tran, G Franzese, P Michiardi, M Filippone
Advances in Neural Information Processing Systems 37, 2023
12023
Advancing Bayesian Deep Learning: Sensible Priors and Accelerated Inference
BH Tran
Sorbonne université, 2023
2023
Improving Training of Likelihood-based Generative Models with Gaussian Homotopy
BH Tran, G Franzese, P Michiardi, M Filippone
SPIGM 2023, 1st Workshop on Structured Probabilistic Inference & Generative …, 2023
2023
Model Selection for Bayesian Autoencoders: Supplementary Material
BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone
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