Ba-Hien Tran
6 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
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Unstoppable · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Architectures
(2)
Techniques
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
variational autoencoder
(2)
latent space
(2)
gaussian process
(2)
variational inference
(2)
representation learning
(2)
image classification
(2)
model selection
(1)
semantic segmentation
(1)
unsupervised learning
(1)
knowledge distillation
(1)
data augmentation
(1)
neural network optimization
(1)
sliced wasserstein distance
(1)
label smoothing
(1)
sparse approximation
(1)
uncertainty quantification
(1)
image super-resolution
(1)
markov chain monte carlo
(1)
energy efficiency
(1)
bayesian inference
(1)
Papers
Robust Classification by Coupling Data Mollification with Label Smoothing
AISTATS 2025
BOLD: Boolean Logic Deep Learning
NeurIPS 2024
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
ICML 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
NeurIPS 2023
All You Need is a Good Functional Prior for Bayesian Deep Learning
JMLR 2022
Model Selection for Bayesian Autoencoders
NeurIPS 2021