Hellander, Andreas

1. Convolutional Neural Networks as Summary Statistics for Approximate\n Bayesian Computation
   2020/01/31 by Mattias Åkesson, Åkesson, Mattias, Prashant Singh +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
2. Scalable federated machine learning with FEDn
   2021/02/27 by Morgan Ekmefjord, Ekmefjord, Morgan, Addi Ait‐Mlouk +13 · 1 citation
   Computer Science · #68-04 #68T07 #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
3. Accelerating Fair Federated Learning: Adaptive Federated Adam
   2023/01/23 by Ju, Li, Zhang, Tianru, Toor, Salman +1 · 1 citation
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
4. Variational Autoencoders for Efficient Simulation-Based Inference
   2024/11/21 by Mayank Nautiyal, Andrey Shternshis, Nautiyal, Mayank +5 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)