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variational inference

2,345 papers

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VI

Co-occurring keywords · papers mentioning both

bayesian inference (359) gaussian process (255) generative model (223) variational autoencoder (171) latent variable model (151) representation learning (109) probabilistic modeling (105) uncertainty quantification (103) bayesian neural network (99) latent variable (96)

Papers

Noether's Razor: Learning Conserved Quantities NeurIPS 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NeurIPS 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimising Distributions with Natural Gradient Surrogates AISTATS 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Particle Semi-Implicit Variational Inference NeurIPS 2024 pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization NeurIPS 2024 Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis Interspeech 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NeurIPS 2024 PhyloGFN: Phylogenetic inference with generative flow networks ICLR 2024 Physics-Informed Variational State-Space Gaussian Processes NeurIPS 2024 POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models ICML 2024 Probabilistic Integral Circuits AISTATS 2024 Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications CVPR 2024 Provably Scalable Black-Box Variational Inference with Structured Variational Families ICML 2024 Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations ICLR 2024