24 citations · 60 across the 10 of their papers we have counts for
10 papers
Exploring Compositional Visual Generation with Latent Classifier Guidance
Changhao Shi, Haomiao Ni, Kai Li +3
Diffusion probabilistic models have achieved enormous success in the field of image generation and manipulation. In this paper, we explore a novel paradigm of using the diffusion m…
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li, Shaobo Han, Martin Renqiang Min +1
We propose a reinforcement learning based approach to query object localization, for which an agent is trained to localize objects of interest specified by a small exemplary set. W…
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng, Shaobo Han, Simon S. Du
This paper studies zero-shot domain adaptation where each domain is indexed on a multi-dimensional array, and we only have data from a small subset of domains. Our goal is to produ…
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks
Shaobo Han, David B. Dunson
We introduce a multiscale supervised dimension reduction method for SPatial Interaction Network (SPIN) data, which consist of a collection of spatially coordinated interactions. Th…
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks
Shaobo Han, David B. Dunson
This article is motivated by soccer positional passing networks collected across multiple games. We refer to these data as replicated spatial passing networks---to accurately model…
VAE Learning via Stein Variational Gradient Descent
Yunchen Pu, Zhe Gan, Ricardo Henao +3
A new method for learning variational autoencoders (VAEs) is developed, based on Stein variational gradient descent. A key advantage of this approach is that one need not make para…
Variational Gaussian Copula Inference
Shaobo Han, Xuejun Liao, David B. Dunson +1
We utilize copulas to constitute a unified framework for constructing and optimizing variational proposals in hierarchical Bayesian models. For models with continuous and non-Gauss…
Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
Yan Kaganovsky, Shaobo Han, Soysal Degirmenci +4
We propose a globally convergent alternating minimization (AM) algorithm for image reconstruction in transmission tomography, which extends automatic relevance determination (ARD)…
Multiscale Shrinkage and Lévy Processes
Xin Yuan, Vinayak Rao, Shaobo Han +1
A new shrinkage-based construction is developed for a compressible vector , for cases in which the components of $\xv$ are naturally associated with…
Cross-Domain Multitask Learning with Latent Probit Models
Shaobo Han, Xuejun Liao, Lawrence Carin
Learning multiple tasks across heterogeneous domains is a challenging problem since the feature space may not be the same for different tasks. We assume the data in multiple tasks…