John Paisley
- Stochastic Variational Inference
2012/06/29 by Matt Hoffman, David M. Blei, Hoffman, Matt +5 · 75 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, Paisley, John, David M. Blei +3 · 31 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, Dieng, Adji B., Chong Wang +5 · 10 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 · 8 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, John Paisley, Liu, Jeremiah Zhe +5 · 6 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 Aonan Zhang, Quan Wang, Zhang, Aonan +7 · 5 citations
Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
- Bayesian Poisson Tensor Factorization for Inferring Multilateral\n Relations from Sparse Dyadic Event Counts
2015/06/10 by Aaron Schein, John Paisley, Schein, Aaron +5 · 6 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, Avishek Saha, Gultekin, San +5 · 3 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
- Global Explanations of Neural Networks: Mapping the Landscape of Predictions
2019/02/06 by Mark Ibrahim, Ibrahim, Mark, Melissa Louie +5 · 2 citations
Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management
- An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
2018/10/25 by Liyan Sun, Sun, Liyan, Jiexiang Wang +9 · 2 citations
Computer Science · #AI in cancer detection #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Online Forecasting Matrix Factorization
2017/12/23 by San Gultekin, Gultekin, San, John Paisley +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 Liyan Sun, Sun, Liyan, Zhiwen Fan +7 · 1 citation
Engineering · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
- Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures
2021/09/24 by Elizabeth A. Gibson, Sebastian T. Rowland, Gibson, Elizabeth A. +9 · 1 citation
Chemistry · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Spectroscopy and Chemometric Analyses
- Gaussian Process Neural Additive Models
2024/02/19 by Wei Zhang, Brian Barr, Zhang, Wei +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
- The Discrete Infinite Logistic Normal Distribution
2011/03/24 by John Paisley, Chong Wang, Paisley, John +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Reweighted Expectation Maximization
2019/06/13 by Adji Bousso Dieng, Dieng, Adji B., John Paisley +1 · 2 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Music and Audio Processing
- Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
2025/05/08 by Wei Chen, Chen, Wei, Shigui Li +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