Showing 1–14 of 14 results
/ Date/ Name
Jul 2, 2020Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural ProcessesSep 2, 2019On the Expressiveness of Approximate Inference in Bayesian Neural NetworksMay 15, 2022A Note on the Chernoff Bound for Random Variables in the Unit IntervalFeb 2, 2023Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened DynamicsJun 7, 2021How Tight Can PAC-Bayes be in the Small Data Regime?Jun 27, 2019'In-Between' Uncertainty in Bayesian Neural NetworksOct 29, 2019Convolutional Conditional Neural ProcessesOct 8, 2023Fast protein backbone generation with SE(3) flow matchingSep 29, 2025RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at ScaleFeb 6, 2024Denoising Diffusion Probabilistic Models in Six Simple StepsMar 25, 2023Autoregressive Conditional Neural ProcessesJul 12, 2020Structured Weight Priors for Convolutional Neural NetworksJan 10, 2021The Gaussian Neural ProcessJan 8, 2024Improved motif-scaffolding with SE(3) flow matching