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Variational Inference

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TitleStatusHype
Use of Variational Inference in Music Emotion Recognition—0
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors—0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution—0
Continuous-Time Deep Glioma Growth ModelsCode1
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models—0
A Practical & Unified Notation for Information-Theoretic Quantities in ML—0
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization—0
Nested Variational Inference—0
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise—0
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion—0
Variational Causal Networks: Approximate Bayesian Inference over Causal StructuresCode1
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data—0
Posterior Temperature Optimization in Variational Inference for Inverse Problems—0
Order Matters: Probabilistic Modeling of Node Sequence for Graph GenerationCode1
Deep Conditional Gaussian Mixture Model for Constrained ClusteringCode1
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
A Deep Variational Approach to Clustering Survival DataCode1
Learning Nonparametric Volterra Kernels with Gaussian ProcessesCode0
Mixture weights optimisation for Alpha-Divergence Variational Inference—0
Probabilistic task modelling for meta-learningCode0
Loss function based second-order Jensen inequality and its application to particle variational inference—0
Nonlinear Hawkes Processes in Time-Varying System—0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
A Deep Variational Bayesian Framework for Blind Image Deblurring—0
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning—0
Variational Leakage: The Role of Information Complexity in Privacy LeakageCode0
Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationCode0
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime SwitchingCode1
-VAEs : Optimising variational inference by learning data-dependent divergence skew—0
Challenges for BBVI with Normalizing Flows—0
A Differentiable Point Process with Its Application to Spiking Neural NetworksCode1
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Transformation Models for Flexible Posteriors in Variational BayesCode0
Consistency Regularization for Variational Auto-EncodersCode0
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event SequencesCode0
Non-negative matrix factorization algorithms greatly improve topic model fitsCode1
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
DiBS: Differentiable Bayesian Structure LearningCode1
How particular is the physics of the free energy principle?—0
Scalable Cross Validation Losses for Gaussian Process Models—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Geometric variational inference—0
Robust Unsupervised Multi-Object Tracking in Noisy EnvironmentsCode0
Nonlinear Hawkes Process with Gaussian Process Self Effects—0
Boosting Variational Inference With Locally Adaptive Step-Sizes—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond—0
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph CaptioningCode0
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