variational inference

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023 MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023 MAGI: Multi-Annotated Explanation-Guided Learning ICCV 2023 MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023 Markovian Gaussian Process Variational Autoencoders ICML 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Max-Sliced Mutual Information NeurIPS 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023 MixFlows: principled variational inference via mixed flows ICML 2023 Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field ACL 2023 Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts ICLR 2023 Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023 NAS-X: Neural Adaptive Smoothing via Twisting NeurIPS 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Dynamic Focused Topic Model AAAI 2023 Neural Markov Jump Processes ICML 2023 NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023 Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning ACL 2023 Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling ACL 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery ACL 2023 On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy NeurIPS 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 On permutation symmetries in Bayesian neural network posteriors: a variational perspective NeurIPS 2023