Showing 1–15 of 15 results
/ Date/ Name
Aug 22, 2021Efficient Gaussian Neural Processes for RegressionSep 27, 2023Faster Relative Entropy Coding with Greedy Rejection CodingMay 30, 2022Notes on the runtime of A* samplingJan 30, 2022Fast Relative Entropy Coding with A* codingMar 30, 2024Aardvark weather: end-to-end data-driven weather forecastingJun 18, 2024Translation Equivariant Transformer Neural ProcessesFeb 6, 2024Denoising Diffusion Probabilistic Models in Six Simple StepsMar 25, 2023Autoregressive Conditional Neural ProcessesFeb 16, 2023Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlowJun 12, 2024Noise-Aware Differentially Private Regression via Meta-LearningNov 18, 2022Environmental Sensor Placement with Convolutional Gaussian Neural ProcessesMar 16, 2022Practical Conditional Neural Processes Via Tractable Dependent PredictionsFeb 24, 2022Partitioned Variational Inference: A Framework for Probabilistic Federated LearningJun 12, 2025Skillful joint probabilistic weather forecasting from marginalsMay 26, 2024Variance-Reducing Couplings for Random Features