research
∙
06/01/2023
Approximate Stein Classes for Truncated Density Estimation
Estimating truncated density models is difficult, as these models have i...
share
research
∙
05/24/2023
Variational Gradient Descent using Local Linear Models
Stein Variational Gradient Descent (SVGD) can transport particles along ...
research
∙
05/06/2023
Label-Free Multi-Domain Machine Translation with Stage-wise Training
Most multi-domain machine translation models rely on domain-annotated da...
research
∙
02/21/2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data
Density Ratio Estimation (DRE) is an important machine learning techniqu...
research
∙
02/02/2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Differential Equations
The conventional understanding of adversarial training in generative adv...
research
∙
10/10/2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
We introduce Sequential Neural Posterior Score Estimation (SNPSE) and Se...
research
∙
08/22/2022
Automated Noncontact Trapping of Moving Micro-particle with Ultrasonic Phased Array System and Microscopic Vision
Noncontact particle manipulation (NPM) technology has significantly exte...
research
∙
08/17/2022
Highly dynamic locomotion control of biped robot enhanced by swing arms
Swing arms have an irreplaceable role in promoting highly dynamic locomo...
research
∙
07/26/2022
Sliced Wasserstein Variational Inference
Variational Inference approximates an unnormalized distribution via the ...
research
∙
06/29/2022
Score Matching for Truncated Density Estimation on a Manifold
When observations are truncated, we are limited to an incomplete picture...
research
∙
10/18/2021
The f-divergence and Loss Functions in ROC Curve
Given two data distributions and a test score function, the Receiver Ope...
research
∙
03/28/2021
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
Video-Text Retrieval has been a hot research topic with the explosion of...
research
∙
02/15/2020
Posterior Ratio Estimation for Latent Variables
Density Ratio Estimation has attracted attention from machine learning c...
research
∙
01/20/2020
Model Reuse with Reduced Kernel Mean Embedding Specification
Given a publicly available pool of machine learning models constructed f...
research
∙
10/09/2019
Estimating Density Models with Complex Truncation Boundaries
Truncated densities are probability density functions defined on truncat...
research
∙
05/01/2019
Two-sample inference for high-dimensional Markov networks
Markov networks are frequently used in sciences to represent conditional...
research
∙
01/28/2019
Personalized Dialogue Generation with Diversified Traits
Endowing a dialogue system with particular personality traits is essenti...
research
∙
05/18/2018
Model Inference with Stein Density Ratio Estimation
The Kullback-Leilber divergence from model to data is a classic goodness...
research
∙
09/04/2017
The electromagnetic waves propagation in unmagnetized plasma media using parallelized finite-difference time-domain method
The finite-difference time-domain (FDTD) method has been commonly utiliz...
research
∙
09/04/2017
GPU-Accelerated Parallel Finite-Difference Time-Domain Method for Electromagnetic Waves Propagation in Unmagnetized Plasma Media
The finite-difference time-domain (FDTD) method has been commonly utiliz...
research
∙
03/09/2017
Trimmed Density Ratio Estimation
Density ratio estimation is a vital tool in both machine learning and st...
research
∙
02/21/2017
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation
We propose an inlier-based outlier detection method capable of both iden...
research
∙
01/07/2017
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks
This paper proposes three simple, compact yet effective representations ...
research
∙
01/06/2017
Learning Sparse Structural Changes in High-dimensional Markov Networks: A Review on Methodologies and Theories
Recent years have seen an increasing popularity of learning the sparse c...
research
∙
08/22/2016
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
This paper addresses the problem of continuous gesture recognition from ...
research
∙
02/22/2016
Planogram Compliance Checking Based on Detection of Recurring Patterns
In this paper, a novel method for automatic planogram compliance checkin...
research
∙
02/22/2016
Creating Simplified 3D Models with High Quality Textures
This paper presents an extension to the KinectFusion algorithm which all...
research
∙
06/09/2015
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective
Transfer learning assumes classifiers of similar tasks share certain par...
research
∙
04/02/2015
Structure Learning of Partitioned Markov Networks
We learn the structure of a Markov Network between two groups of random ...
research
∙
07/02/2014
Support Consistency of Direct Sparse-Change Learning in Markov Networks
We study the problem of learning sparse structure changes between two Ma...
research
∙
04/25/2013
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
We propose a new method for detecting changes in Markov network structur...
research
∙
06/30/2012
Density-Difference Estimation
We address the problem of estimating the difference between two probabil...
research
∙
03/02/2012
