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Conor Durkan

  1. Neural Spline Flows
    2019/06/10 by Conor Durkan, Artur Bekasov, Durkan, Conor +5 · 70 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  2. Maximum Likelihood Training of Score-Based Diffusion Models
    2021/01/22 by Yang Song, Conor Durkan, Song, Yang +5 · 68 citations
    Medicine · Computer Science · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
  3. Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
    2023/02/22 by Yilun Du, Du, Yilun, Conor Durkan +15 · 31 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
  4. Continuous diffusion for categorical data
    2022/11/28 by Sander Dieleman, Dieleman, Sander, Laurent Sartran +25 · 26 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Music and Audio Processing
  5. On Contrastive Learning for Likelihood-free Inference
    2020/02/10 by Conor Durkan, Iain Murray, Durkan, Conor +3 · 10 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
  6. sbi reloaded: a toolkit for simulation-based inference workflows
    2024/11/26 by Jan Boelts, Boelts, Jan, Michael Deistler +63 · 12 citations
    Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Simulation Techniques and Applications
  7. Autoregressive Energy Machines
    2019/04/11 by Charlie Nash, Conor Durkan, Nash, Charlie +1 · 3 citations
    Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)