65 citations · 146 across the 5 of their papers we have counts for
5 papers
Uncertainty-aware Model-based Policy Optimization
Tung-Long Vuong, Kenneth Tran
Model-based reinforcement learning has the potential to be more sample efficient than model-free approaches. However, existing model-based methods are vulnerable to model bias, whi…
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover, Jiaming Song, Alekh Agarwal +4
A learned generative model often produces biased statistics relative to the underlying data distribution. A standard technique to correct this bias is importance sampling, where sa…
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He +5
A Semantic Compositional Network (SCN) is developed for image captioning, in which semantic concepts (i.e., tags) are detected from the image, and the probability of each tag is us…
Rich Image Captioning in the Wild
Kenneth Tran, Xiaodong He, Lei Zhang +5
We present an image caption system that addresses new challenges of automatically describing images in the wild. The challenges include high quality caption quality with respect to…
A parallel directional Fast Multipole Method
Austin R. Benson, Jack Poulson, Kenneth Tran +2
This paper introduces a parallel directional fast multipole method (FMM) for solving N-body problems with highly oscillatory kernels, with a focus on the Helmholtz kernel in three…