Hensman, James
- Gaussian Processes for Big Data
2013/09/26 by James Hensman, Hensman, James, Nicolò Fusi +3 · 72 citations
Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Education and Methodologies
- QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
2024/03/30 by Saleh Ashkboos, Ashkboos, Saleh, Amirkeivan Mohtashami +14 · 116 citations
Computer Science · Engineering · #Advanced Wireless Communication Techniques #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optical Network Technologies
- Scalable Variational Gaussian Process Classification
2014/11/07 by James Hensman, Hensman, James, Alexander Matthews +3 · 42 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Data Classification
- SliceGPT: Compress Large Language Models by Deleting Rows and Columns
2024/01/26 by Saleh Ashkboos, Ashkboos, Saleh, Maximilian L. Croci +7 · 59 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Variational Fourier features for Gaussian processes
2016/11/21 by James Hensman, Nicolas Durrande, Hensman, James +3 · 26 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Scientific Research and Discoveries #Advanced Multi-Objective Optimization Algorithms
- GPflow: A Gaussian process library using TensorFlow
2016/10/27 by Alexander Matthews, Mark van der Wilk, Matthews, Alexander G. de G. +13 · 15 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
- MCMC for Variationally Sparse Gaussian Processes
2015/06/12 by Hensman, James, Matthews, Alexander G. de G., Filippone, Maurizio +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Fast Variational Inference in the Conjugate Exponential Family
2012/06/22 by James Hensman, Hensman, James, Magnus Rattray +3 · 4 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- KBLaM: Knowledge Base augmented Language Model
2024/10/14 by Xi Wang, Taketomo Isazawa, Wang, Xi +5 · 7 citations
Computer Science · #Natural Language Processing Techniques
- On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes
2015/04/27 by Matthews, Alexander G. de G., Hensman, James, Turner, Richard E. +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Chained Gaussian Processes
2016/04/18 by Saul, Alan D., Hensman, James, Vehtari, Aki +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Natural Gradients in Practice: Non-Conjugate Variational Inference in\n Gaussian Process Models
2018/03/24 by Hugh Salimbeni, Salimbeni, Hugh, Stefanos Eleftheriadis +3 · 3 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Identification of Gaussian Process State Space Models
2017/05/30 by Stefanos Eleftheriadis, Eleftheriadis, Stefanos, Thomas F. W. Nicholson +5 · 2 citations
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
- Additive Gaussian Processes Revisited
2022/06/20 by Xiaoyu Lu, Lu, Xiaoyu, Alexis Boukouvalas +3 · 3 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Learning Invariances using the Marginal Likelihood
2018/08/16 by Mark van der Wilk, van der Wilk, Mark, Matthias Bauer +5 · 2 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
- Convolutional Gaussian Processes
2017/09/06 by Mark van der Wilk, van der Wilk, Mark, Carl Edward Rasmussen +3 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Research and Discoveries #Target Tracking and Data Fusion in Sensor Networks
- DiSK: A Diffusion Model for Structured Knowledge
2023/12/08 by O. Kitouni, N. S. Nolte, Kitouni, Ouail +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Recommender Systems and Techniques
- Learning to Extract Structured Entities Using Language Models
2024/02/06 by Wu, Haolun, Yuan, Ye, Mikaelyan, Liana +4 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Gaussian process models for periodicity detection
2013/03/28 by Nicolas Durrande, Durrande, Nicolas, James Hensman +5 · 1 citation
Computer Science · #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks
- Fast nonparametric clustering of structured time-series
2014/01/08 by Hensman, James, Rattray, Magnus, Lawrence, Neil D. · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gaussian Process Models with Parallelization and GPU acceleration
2014/10/18 by Zhenwen Dai, Dai, Zhenwen, Andreas Damianou +5 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Distributed #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Scientific Research and Discoveries #and Cluster Computing (cs.DC)
- ABC for climate: dealing with expensive simulators
2015/11/11 by Holden, Philip B., Edwards, Neil R., Hensman, James +1 · 1 citation
#Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences
- Bayesian Image Classification with Deep Convolutional Gaussian Processes
2019/02/15 by Vincent Dutordoir, Mark van der Wilk, Dutordoir, Vincent +5 · 1 citation
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Fault Detection and Control Systems
- A Framework for Interdomain and Multioutput Gaussian Processes
2020/03/02 by Mark van der Wilk, van der Wilk, Mark, Vincent Dutordoir +9 · 2 citations
Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- TurboAttention: Efficient Attention Approximation For High Throughputs LLMs
2024/12/11 by Hao Kang, Srikant Bharadwaj, Kang, Hao +9 · 2 citations
Engineering · #Advancements in Photolithography Techniques #Iterative Learning Control Systems #Advanced Surface Polishing Techniques
- Sparse Gaussian Processes with Spherical Harmonic Features
2020/06/30 by Dutordoir, Vincent, Durrande, Nicolas, Hensman, James · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- GPflux: A Library for Deep Gaussian Processes
2021/04/12 by Vincent Dutordoir, Dutordoir, Vincent, Hugh Salimbeni +17 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Neural Networks as Point Estimates for Deep Gaussian Processes
2021/05/10 by Dutordoir, Vincent, Hensman, James, van der Wilk, Mark +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)