Pearce, Michael

1. Sparse Autoencoders Do Not Find Canonical Units of Analysis
   2025/02/07 by Patrick Leask, Leask, Patrick, Bart Bussmann +13 · 29 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
2. Scalable Gaussian Process Variational Autoencoders
   2020/10/26 by Jazbec, Metod, Matthew Ashman, Vincent Fortuin +6 · 5 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
3. Efficient computation of the Knowledge Gradient for Bayesian Optimization
   2022/09/30 by Juan Ungredda, Michael Pearce, Ungredda, Juan +3 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
4. Bayesian Optimization Allowing for Common Random Numbers
   2019/10/21 by Michael Arthur Leopold Pearce, Michael Pearce, Pearce, Michael +4 · 2 citations
   Computer Science · Decision Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
5. Sparse Gaussian Process Variational Autoencoders
   2020/10/20 by Matthew Ashman, Jonathan So, Ashman, Matthew +9 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
6. Bayesian Rank-Clustering
   2024/06/27 by Michael Pearce, Pearce, Michael, Elena A. Erosheva +1 · 1 citation
   Computer Science · #Advanced Clustering Algorithms Research #Applications (stat.AP) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Methodology (stat.ME)