Ba-Hien Tran
6 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (19)
π₯
Unstoppable
(5)
Conferences
NIPS (3)
AISTATS (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
representation learning
(2)
variational autoencoder
(2)
latent space
(2)
variational inference
(2)
gaussian process
(2)
model selection
(1)
bayesian inference
(1)
knowledge distillation
(1)
neural network optimization
(1)
energy efficiency
(1)
markov chain monte carlo
(1)
image super-resolution
(1)
sparse approximation
(1)
posterior estimation
(1)
generative model
(1)
normalizing flow
(1)
sliced-wasserstein distance
(1)
bayesian deep learning
(1)
boolean neural network
(1)
low-precision training
(1)
Papers
Robust Classification by Coupling Data Mollification with Label Smoothing
AISTATS 2025
BOLD: Boolean Logic Deep Learning
NIPS 2024
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
NIPS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
ICML 2023
All You Need is a Good Functional Prior for Bayesian Deep Learning
JMLR 2022
Model Selection for Bayesian Autoencoders
NIPS 2021