Browse State-of-the-Art › Variational Inference › Papers, page 15
Variational Inference
Papers archive 2025-07-28
archive papers tagged: 2,274 · with a code link: 880 · where Syntology ran a sample: 269 (223 with a run with no instrument failure, 46 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (269 of 2,274 tagged: 223 with a run with no instrument failure, 46 where every run was a failure of Syntology's instrument)
Page 15 of 23: papers 1,401 to 1,500 of 2,274, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
-
Learning to Learn Dense Gaussian Processes for Few-Shot Learning1 Dec 2021 0 repositories listed
-
Modified Frank Wolfe in Probability Space1 Dec 2021 0 repositories listed
-
Optimality of variational inference for stochasticblock model with missing links1 Dec 2021 0 repositories listed
-
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models1 Dec 2021 0 repositories listed
-
Variational Continual Bayesian Meta-Learning1 Dec 2021 0 repositories listed
-
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors26 Nov 2021 0 repositories listed
-
25 Nov 2021 0 repositories listed
-
Differentially private stochastic expectation propagation (DP-SEP)25 Nov 2021 0 repositories listed
-
Matrix Inversion free variational inference in Conditional Student's T Processes22 Nov 2021 0 repositories listed
-
Probabilistic Deep Learning with Generalised Variational Inference22 Nov 2021 0 repositories listed
-
Shooting Schrödinger’s Cat22 Nov 2021 0 repositories listed
-
Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach22 Nov 2021 0 repositories listed
-
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel21 Nov 2021 0 repositories listed
-
Blind Channel Estimation for MIMO Systems via Variational Inference16 Nov 2021 0 repositories listed
-
Neural Dynamic Focused Topic Model16 Nov 2021 0 repositories listed
-
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding16 Nov 2021 0 repositories listed
-
Natural Gradient Variational Inference with Gaussian Mixture Models15 Nov 2021 0 repositories listed
-
Predictive coding, precision and natural gradients12 Nov 2021 0 repositories listed
-
Robust Learning via Ensemble Density Propagation in Deep Neural Networks10 Nov 2021 0 repositories listed
-
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage8 Nov 2021 0 repositories listed
-
Amortized Variational Inference for Simple Hierarchical Models4 Nov 2021 0 repositories listed
-
Variational Inference with Holder Bounds4 Nov 2021 0 repositories listed
-
A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)2 Nov 2021 0 repositories listed
-
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation1 Nov 2021 0 repositories listed
-
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts1 Nov 2021 0 repositories listed
-
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media28 Oct 2021 0 repositories listed
-
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels27 Oct 2021 0 repositories listed
-
Relay Variational Inference: A Method for Accelerated Encoderless VI26 Oct 2021 0 repositories listed
-
VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis17 Oct 2021 0 repositories listed
-
Is MC Dropout Bayesian?8 Oct 2021 0 repositories listed
-
Pathologies in priors and inference for Bayesian transformers8 Oct 2021 0 repositories listed
-
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models29 Sep 2021 0 repositories listed
-
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How29 Sep 2021 0 repositories listed
-
Deep Attentive Variational Inference29 Sep 2021 0 repositories listed
-
Deep Ensemble as a Gaussian Process Posterior29 Sep 2021 0 repositories listed
-
Edge Partition Modulated Graph Convolutional Networks29 Sep 2021 0 repositories listed
-
EinSteinVI: General and Integrated Stein Variational Inference29 Sep 2021 0 repositories listed
-
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective29 Sep 2021 0 repositories listed
-
Function-Space Variational Inference for Deep Bayesian Classification29 Sep 2021 0 repositories listed
-
How to deal with missing data in supervised deep learning?29 Sep 2021 0 repositories listed
-
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data29 Sep 2021 0 repositories listed
-
Learning From Unpaired Data: A Variational Bayes Approach29 Sep 2021 0 repositories listed
-
Learning to Dequantise with Truncated Flows29 Sep 2021 0 repositories listed
-
Neural Relational Inference with Node-Specific Information29 Sep 2021 0 repositories listed
-
Neural Variational Dropout Processes29 Sep 2021 0 repositories listed
-
Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems29 Sep 2021 0 repositories listed
-
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION29 Sep 2021 0 repositories listed
-
Variational Component Decoder for Source Extraction from Nonlinear Mixture29 Sep 2021 0 repositories listed
-
Variational Inference for Continuous-Time Switching Dynamical Systems29 Sep 2021 0 repositories listed
-
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion29 Sep 2021 0 repositories listed
-
Variational Inference via Resolution of Singularities29 Sep 2021 0 repositories listed
-
Sparse Gaussian Processes for Stochastic Differential Equations27 Sep 2021 0 repositories listed
-
Using Soft Labels to Model Uncertainty in Medical Image Segmentation26 Sep 2021 0 repositories listed
-
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization20 Sep 2021 0 repositories listed
-
Variational Disentanglement for Domain Generalization13 Sep 2021 0 repositories listed
-
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations5 Sep 2021 0 repositories listed
-
A Mathematical Walkthrough and Discussion of the Free Energy Principle30 Aug 2021 0 repositories listed
-
An Introduction to Variational Inference30 Aug 2021 0 repositories listed
-
Modeling Item Response Theory with Stochastic Variational Inference26 Aug 2021 0 repositories listed
-
Few Shot Activity Recognition Using Variational Inference20 Aug 2021 0 repositories listed
-
Variational Inference at Glacier Scale16 Aug 2021 0 repositories listed
-
Regularized Sequential Latent Variable Models with Adversarial Neural Networks10 Aug 2021 0 repositories listed
-
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities5 Aug 2021 0 repositories listed
-
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation1 Aug 2021 0 repositories listed
-
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver31 Jul 2021 0 repositories listed
-
Self-Supervised Inference in State-Space Models28 Jul 2021 0 repositories listed
-
Input Dependent Sparse Gaussian Processes15 Jul 2021 0 repositories listed
-
Principal component analysis for Gaussian process posteriors15 Jul 2021 0 repositories listed
-
Variational Topic Inference for Chest X-Ray Report Generation15 Jul 2021 0 repositories listed
-
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers14 Jul 2021 0 repositories listed
-
Bayesian brains and the Rényi divergence12 Jul 2021 0 repositories listed
-
Prb-GAN: A Probabilistic Framework for GAN Modelling12 Jul 2021 0 repositories listed
-
MCMC Variational Inference via Uncorrected Hamiltonian Annealing8 Jul 2021 0 repositories listed
-
Scaling Gaussian Processes with Derivative Information Using Variational Inference8 Jul 2021 0 repositories listed
-
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence6 Jul 2021 0 repositories listed
-
InfoNCE is variational inference in a recognition parameterised model6 Jul 2021 0 repositories listed
-
Dual Adversarial Variational Embedding for Robust Recommendation30 Jun 2021 0 repositories listed
-
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence30 Jun 2021 0 repositories listed
-
Use of Variational Inference in Music Emotion Recognition27 Jun 2021 0 repositories listed
-
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors26 Jun 2021 0 repositories listed
-
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution25 Jun 2021 0 repositories listed
-
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models23 Jun 2021 0 repositories listed
-
A Practical & Unified Notation for Information-Theoretic Quantities in ML22 Jun 2021 0 repositories listed
-
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization21 Jun 2021 0 repositories listed
-
Nested Variational Inference21 Jun 2021 0 repositories listed
-
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise19 Jun 2021 0 repositories listed
-
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion18 Jun 2021 0 repositories listed
-
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data13 Jun 2021 0 repositories listed
-
Posterior Temperature Optimization in Variational Inference for Inverse Problems11 Jun 2021 0 repositories listed
-
Loss function based second-order Jensen inequality and its application to particle variational inference9 Jun 2021 0 repositories listed
-
Mixture weights optimisation for Alpha-Divergence Variational Inference9 Jun 2021 0 repositories listed
-
Nonlinear Hawkes Processes in Time-Varying System9 Jun 2021 0 repositories listed
-
A Deep Variational Bayesian Framework for Blind Image Deblurring5 Jun 2021 0 repositories listed
-
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning5 Jun 2021 0 repositories listed
-
α-VAEs : Optimising variational inference by learning data-dependent divergence skew2 Jun 2021 0 repositories listed
-
Challenges for BBVI with Normalizing Flows2 Jun 2021 0 repositories listed
-
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network1 Jun 2021 0 repositories listed
-
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders27 May 2021 0 repositories listed
-
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence25 May 2021 0 repositories listed
-
How particular is the physics of the free energy principle?24 May 2021 0 repositories listed