Variational Inference

A decoder suffices for query-adaptive variational inference UAI 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NeurIPS 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 A Flexible Diffusion Model ICML 2023 A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023 A Heavy-Tailed Algebra for Probabilistic Programming NeurIPS 2023 AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires MLHC 2023 A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023 Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023 Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows AAAI 2023 Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023 Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NeurIPS 2023 A neural architecture for selective attention to speech features Interspeech 2023 An improved variational approximate posterior for the deep Wishart process UAI 2023 Approximate Bayesian Inference with Stein Functional Variational Gradient Descent ICLR 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 ARTree: A Deep Autoregressive Model for Phylogenetic Inference NeurIPS 2023 A Self-Attention Ansatz for Ab-initio Quantum Chemistry ICLR 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks ICLR 2023 A theory of continuous generative flow networks ICML 2023 A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation AAAI 2023 Auto-Encoding Goodness of Fit ICLR 2023 A VAE for Transformers with Nonparametric Variational Information Bottleneck ICLR 2023