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Garnelo, Marta

  1. Conditional Neural Processes
    2018/07/04 by Marta Garnelo, Garnelo, Marta, Dan Rosenbaum +15 · 42 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. An Explicitly Relational Neural Network Architecture
    2019/05/24 by Murray Shanahan, Shanahan, Murray, Kyriacos Nikiforou +10 · 1 voice · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  3. Neural Processes
    2018/07/04 by Marta Garnelo, Jonathan Schwarz, Garnelo, Marta +11 · 30 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 #Neural Networks and Applications
  4. Attentive Neural Processes
    2019/01/17 by Kim, Hyunjik, Mnih, Andriy, Schwarz, Jonathan +5 · 23 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Open-ended Learning in Symmetric Zero-sum Games
    2019/01/23 by David Balduzzi, Balduzzi, David, Marta Garnelo +11 · 1 voice · 5 citations
    Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #cs.GT #cs.LG #cs.MA #stat.ML
  6. Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
    2016/11/08 by Dilokthanakul, Nat, Mediano, Pedro A. M., Garnelo, Marta +4 · 14 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  7. Game Plan: What AI can do for Football, and What Football can do for AI
    2020/11/18 by Tuyls, Karl, Omidshafiei, Shayegan, Muller, Paul +33 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  8. Towards Deep Symbolic Reinforcement Learning
    2016/09/18 by Marta Garnelo, Kai Arulkumaran, Garnelo, Marta +3 · 1 voice
    #cs.AI #cs.LG
  9. Time-series Imputation of Temporally-occluded Multiagent Trajectories
    2021/06/08 by Shayegan Omidshafiei, Omidshafiei, Shayegan, Daniel Hennes +19 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Autonomous Vehicle Technology and Safety #Time Series Analysis and Forecasting
  10. Exploring the Space of Key-Value-Query Models with Intention
    2023/05/17 by Marta Garnelo, Garnelo, Marta, Wojciech Marian Czarnecki +1 · 1 voice
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE
  11. Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs
    2021/06/26 by Dan Rosenbaum, Rosenbaum, Dan, Marta Garnelo +23 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Computational Engineering #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Finance #Force Microscopy Techniques and Applications #Image and Video Processing (eess.IV) #and Science (cs.CE) #electronic engineering #information engineering