Hoffman, Matthew

1. NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
   2019/03/09 by Matthew D. Hoffman, Hoffman, Matthew, Pavel Sountsov +9 · 15 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
2. Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
   2017/11/15 by Jesse Engel, Engel, Jesse, Matthew Hoffman +5 · 7 citations
   Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE)
3. Learning Activation Functions to Improve Deep Neural Networks
   2014/12/21 by Agostinelli, Forest, Hoffman, Matthew, Sadowski, Peter +1 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
4. On the challenges of learning with inference networks on sparse,\n high-dimensional data
   2017/10/17 by Rahul G. Krishnan, Krishnan, Rahul G., Dawen Liang +4 · 2 citations
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
5. Regularized Behavior Value Estimation
   2021/03/17 by Gulcehre, Caglar, Colmenarejo, Sergio Gómez, Wang, Ziyu +7 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Semantic Segmentation with Active Semi-Supervised Learning
   2022/03/21 by Aneesh Rangnekar, Christopher Kanan, Rangnekar, Aneesh +3 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification
7. Simple, Distributed, and Accelerated Probabilistic Programming
   2018/11/05 by Tran, Dustin, Hoffman, Matthew, Moore, Dave +5 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL)