Paisley, John
- Stochastic Variational Inference
2012/06/29 by Matt Hoffman, David M. Blei, Hoffman, Matt +5 · 49 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
- Variational Bayesian Inference with Stochastic Search
2012/06/27 by John Paisley, David M. Blei, Paisley, John +3 · 19 citations
Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
- TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
2016/11/05 by Adji Bousso Dieng, Chong Wang, Dieng, Adji B. +5 · 5 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
- Lightweight Pyramid Networks for Image Deraining
2018/05/16 by Xueyang Fu, Borong Liang, Fu, Xueyang +7 · 4 citations
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Image and Signal Denoising Methods
- Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
2019/11/11 by Jeremiah Zhe Liu, Liu, Jeremiah Zhe, John Paisley +5 · 4 citations
Computer Science · Environmental Science · #Air Quality Monitoring and Forecasting #Air Quality and Health Impacts #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fully Supervised Speaker Diarization
2018/10/10 by Zhang, Aonan, Wang, Quan, Zhu, Zhenyao +2 · 3 citations
#Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
- Bayesian Poisson Tensor Factorization for Inferring Multilateral\n Relations from Sparse Dyadic Event Counts
2015/06/10 by Aaron Schein, Schein, Aaron, John Paisley +5 · 4 citations
Mathematics · Social Sciences · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Tensor decomposition and applications
- MBA: Mini-Batch AUC Optimization
2018/05/29 by San Gultekin, Gultekin, San, Avishek Saha +5 · 2 citations
Computer Science · Earth and Planetary Sciences · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Underwater Acoustics Research #Water Systems and Optimization
- Online Forecasting Matrix Factorization
2017/12/23 by San Gultekin, John Paisley, Gultekin, San +1 · 1 citation
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications
- A Deep Error Correction Network for Compressed Sensing MRI
2018/03/23 by Sun, Liyan, Fan, Zhiwen, Huang, Yue +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
2018/05/06 by Sun, Liyan, Fan, Zhiwen, Huang, Yue +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
2018/10/25 by Sun, Liyan, Wang, Jiexiang, Huang, Yue +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Global Explanations of Neural Networks: Mapping the Landscape of Predictions
2019/02/06 by Ibrahim, Mark, Louie, Melissa, Modarres, Ceena +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gaussian Process Neural Additive Models
2024/02/19 by Wei Zhang, Zhang, Wei, Brian Barr +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
- Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
2025/05/08 by Wei Chen, Shigui Li, Chen, Wei +9 · 4 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
- Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
2024/07/24 by Xu, Jian, Zeng, Delu, Paisley, John · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)