Showing 1–20 of 37 results
/ Date/ Name
Feb 8, 2020Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of TrialsJun 9, 2020Variational Auto-Regressive Gaussian Processes for Continual LearningJun 16, 2015Bayesian representation learning with oracle constraintsFeb 6, 2025Variational Control for Guidance in Diffusion ModelsNov 9, 2025How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation DatasetOct 1, 2021TyXe: Pyro-based Bayesian neural nets for PytorchMay 23, 2018Likelihood-free inference with emulator networksSep 28, 2023Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 WordsFeb 10, 2020Hierarchical Gaussian Process Priors for Bayesian Neural Network WeightsOct 1, 2018Probabilistic Meta-Representations Of Neural NetworksOct 1, 2015A Generative Model of Words and Relationships from Multiple SourcesOct 20, 2023Compositional Deep Probabilistic Models of DNA Encoded LibrariesDec 24, 2025Parallel Token Prediction for Language ModelsNov 30, 2022DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded LibrariesNov 4, 2022Black-box Coreset Variational InferenceDec 15, 2016Adversarial Message Passing For Graphical ModelsMar 25, 2016Conditional Similarity NetworksNov 4, 2025Scalable Single-Cell Gene Expression Generation with Latent Diffusion ModelsMay 30, 2023Contextual Vision Transformers for Robust Representation LearningNov 5, 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder