7 citations · 11 across the 16 of their papers we have counts for
4 papers · 1 filter
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Toan Nguyen, Kien Do, Duc Thanh Nguyen +2
Out-of-distribution (OOD) generalisation aims to build a model that can generalise well on an unseen target domain using knowledge from multiple source domains. To this end, the mo…
Diffeomorphic Information Neural Estimation
Bao Duong, Thin Nguyen
Mutual Information (MI) and Conditional Mutual Information (CMI) are multi-purpose tools from information theory that are able to naturally measure the statistical dependencies bet…
Conditional Independence Testing via Latent Representation Learning
Bao Duong, Thin Nguyen
Detecting conditional independencies plays a key role in several statistical and machine learning tasks, especially in causal discovery algorithms. In this study, we introduce LCIT…
Efficient Classification with Counterfactual Reasoning and Active Learning
Azhar Mohammed, Dang Nguyen, Bao Duong +1
Data augmentation is one of the most successful techniques to improve the classification accuracy of machine learning models in computer vision. However, applying data augmentation…