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Variational Inference

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TitleStatusHype
BlackJAX: Composable Bayesian inference in JAXCode5
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread FunctionsCode2
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse ProblemsCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Variational Bayesian Last LayersCode2
Neural Markov Random Field for Stereo MatchingCode2
Batch and match: black-box variational inference with a score-based divergenceCode2
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTSCode2
normflows: A PyTorch Package for Normalizing FlowsCode2
Leveraging Instance Features for Label Aggregation in Programmatic Weak SupervisionCode2
Modelling Non-Smooth Signals with Complex Spectral StructureCode2
Tutorial on amortized optimizationCode2
Denoising Diffusion Restoration ModelsCode2
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetCode2
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
Scalable Gradients for Stochastic Differential EquationsCode2
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsCode2
GPflow: A Gaussian process library using TensorFlowCode2
Gaussian Processes for Big DataCode2
Variational Control for Guidance in Diffusion ModelsCode1
Can Transformers Learn Full Bayesian Inference in Context?Code1
Enhance Vision-Language Alignment with NoiseCode1
Training-Free Bayesianization for Low-Rank Adapters of Large Language ModelsCode1
PKF: Probabilistic Data Association Kalman Filter for Multi-Object TrackingCode1
Robust Variational Contrastive Learning for Partially View-unaligned ClusteringCode1
Scalable Random Feature Latent Variable ModelsCode1
Preference Diffusion for RecommendationCode1
Counterfactual Generative Modeling with Variational Causal InferenceCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Variational Bayes Gaussian SplattingCode1
Generative Principal Component Regression via Variational InferenceCode1
Gradient-free variational learning with conditional mixture networksCode1
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision TasksCode1
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithmCode1
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
Randomized Physics-Informed Neural Networks for Bayesian Data AssimilationCode1
Torchtree: flexible phylogenetic model development and inference using PyTorchCode1
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for SamplingCode1
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantificationCode1
Zero-inflation in the Multivariate Poisson Lognormal FamilyCode1
S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticCode1
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
Variational Stochastic Gradient Descent for Deep Neural NetworksCode1
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic ReasoningCode1
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingCode1
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian ProcessesCode1
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient DescentCode1
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