Browse State-of-the-Art › Variational Inference › Papers, page 13
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 13 of 23: papers 1,201 to 1,300 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.
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Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent23 May 2023 0 repositories listed
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Score Operator Newton transport16 May 2023 0 repositories listed
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Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics15 May 2023 0 repositories listed
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A stable deep adversarial learning approach for geological facies generation12 May 2023 0 repositories listed
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Atmospheric Turbulence Correction via Variational Deep Diffusion8 May 2023 0 repositories listed
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FedHB: Hierarchical Bayesian Federated Learning8 May 2023 0 repositories listed
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Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance6 May 2023 0 repositories listed
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Towards Causal Representation Learning and Deconfounding from Indefinite Data4 May 2023 0 repositories listed
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Tensorizing flows: a tool for variational inference3 May 2023 0 repositories listed
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Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach25 Apr 2023 0 repositories listed
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Machine Learning and the Future of Bayesian Computation21 Apr 2023 0 repositories listed
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Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation16 Apr 2023 0 repositories listed
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The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges14 Apr 2023 0 repositories listed
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Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space10 Apr 2023 0 repositories listed
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The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting28 Mar 2023 0 repositories listed
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Variational Distribution Learning for Unsupervised Text-to-Image Generation28 Mar 2023 0 repositories listed
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Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators19 Mar 2023 0 repositories listed
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Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference18 Mar 2023 0 repositories listed
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Hybrid Variational Autoencoder for Time Series Forecasting13 Mar 2023 0 repositories listed
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DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration12 Mar 2023 0 repositories listed Syntology 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Computing with Categories in Machine Learning7 Mar 2023 0 repositories listed
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Variational Inference of Structured Line Spectra Exploiting Group-Sparsity6 Mar 2023 0 repositories listed
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Particle-based Online Bayesian Sampling28 Feb 2023 0 repositories listed
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U-Statistics for Importance-Weighted Variational Inference27 Feb 2023 0 repositories listed
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Streaming data recovery via Bayesian tensor train decomposition23 Feb 2023 0 repositories listed
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VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems22 Feb 2023 0 repositories listed
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Variational Boosted Soft Trees21 Feb 2023 0 repositories listed
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Bayesian Matrix Decomposition and Applications18 Feb 2023 0 repositories listed
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Federated Variational Inference Methods for Structured Latent Variable Models7 Feb 2023 0 repositories listed
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Flat Seeking Bayesian Neural Networks6 Feb 2023 0 repositories listed
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Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes1 Feb 2023 0 repositories listed
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Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation31 Jan 2023 0 repositories listed
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SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking29 Jan 2023 0 repositories listed
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Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective25 Jan 2023 0 repositories listed
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BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition16 Jan 2023 0 repositories listed
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Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes12 Jan 2023 0 repositories listed
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Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing9 Jan 2023 0 repositories listed
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A Tutorial on Parametric Variational Inference3 Jan 2023 0 repositories listed
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Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise3 Jan 2023 0 repositories listed
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Posterior Collapse and Latent Variable Non-identifiability2 Jan 2023 0 repositories listed
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MAGI: Multi-Annotated Explanation-Guided Learning1 Jan 2023 0 repositories listed
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Plausible Uncertainties for Human Pose Regression1 Jan 2023 0 repositories listed
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Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion30 Dec 2022 0 repositories listed
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Visualizing Information Bottleneck through Variational Inference24 Dec 2022 0 repositories listed
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Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels14 Dec 2022 0 repositories listed
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Smoothing volatility targeting14 Dec 2022 0 repositories listed
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Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework14 Dec 2022 0 repositories listed
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Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning7 Dec 2022 0 repositories listed
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Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models6 Dec 2022 0 repositories listed
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Learning the joint distribution of two sequences using little or no paired data6 Dec 2022 0 repositories listed
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Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation3 Dec 2022 0 repositories listed
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Variational Laplace Autoencoders30 Nov 2022 0 repositories listed
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Particle-based Variational Inference with Preconditioned Functional Gradient Flow25 Nov 2022 0 repositories listed
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MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity24 Nov 2022 0 repositories listed
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Bayesian Learning for Neural Networks: an algorithmic survey21 Nov 2022 0 repositories listed
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Compositional Scene Modeling with Global Object-Centric Representations21 Nov 2022 0 repositories listed
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Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks16 Nov 2022 0 repositories listed
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Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors15 Nov 2022 0 repositories listed
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On the Performance of Direct Loss Minimization for Bayesian Neural Networks15 Nov 2022 0 repositories listed
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Towards Improved Learning in Gaussian Processes: The Best of Two Worlds11 Nov 2022 0 repositories listed
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Fast and efficient speech enhancement with variational autoencoders2 Nov 2022 0 repositories listed
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FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning2 Nov 2022 0 repositories listed
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Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics2 Nov 2022 0 repositories listed
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Variational Inference Aided Estimation of Time Varying Channels31 Oct 2022 0 repositories listed
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DPVIm: Differentially Private Variational Inference Improved28 Oct 2022 0 repositories listed
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Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis28 Oct 2022 0 repositories listed
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Adversarial Purification with the Manifold Hypothesis26 Oct 2022 0 repositories listed
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Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise26 Oct 2022 0 repositories listed
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GFlowOut: Dropout with Generative Flow Networks24 Oct 2022 0 repositories listed
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On Representations of Mean-Field Variational Inference20 Oct 2022 0 repositories listed
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Solving Reasoning Tasks with a Slot Transformer20 Oct 2022 0 repositories listed
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A Variational Perspective on Generative Flow Networks14 Oct 2022 0 repositories listed
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Dirichlet process mixture models for non-stationary data streams13 Oct 2022 0 repositories listed
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Probabilistic Integration of Object Level Annotations in Chest X-ray Classification13 Oct 2022 0 repositories listed
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Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics12 Oct 2022 0 repositories listed
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Scaling up Stochastic Gradient Descent for Non-convex Optimisation6 Oct 2022 0 repositories listed
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Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength3 Oct 2022 0 repositories listed
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Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective2 Oct 2022 0 repositories listed
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Learnable Distribution Calibration for Few-Shot Class-Incremental Learning1 Oct 2022 0 repositories listed
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Correcting the Sub-optimal Bit Allocation29 Sep 2022 0 repositories listed
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Structured Optimal Variational Inference for Dynamic Latent Space Models29 Sep 2022 0 repositories listed
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Targeted Separation and Convergence with Kernel Discrepancies26 Sep 2022 0 repositories listed
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Amortized Variational Inference: A Systematic Review22 Sep 2022 0 repositories listed
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18 Sep 2022 0 repositories listed
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Fair Inference for Discrete Latent Variable Models15 Sep 2022 0 repositories listed
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On the detrimental effect of invariances in the likelihood for variational inference15 Sep 2022 0 repositories listed
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β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck12 Sep 2022 0 repositories listed
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A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies9 Sep 2022 0 repositories listed
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Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution6 Sep 2022 0 repositories listed
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ProBoost: a Boosting Method for Probabilistic Classifiers4 Sep 2022 0 repositories listed
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Variational Inference for Model-Free and Model-Based Reinforcement Learning4 Sep 2022 0 repositories listed
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Learning Multiscale Non-stationary Causal Structures31 Aug 2022 0 repositories listed
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Langevin Diffusion Variational Inference16 Aug 2022 0 repositories listed
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Uncertainty Quantification for Traffic Forecasting: A Unified Approach11 Aug 2022 0 repositories listed
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Fully probabilistic deep models for forward and inverse problems in parametric PDEs9 Aug 2022 0 repositories listed
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Unitary Approximate Message Passing for Matrix Factorization31 Jul 2022 0 repositories listed
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One Simple Trick to Fix Your Bayesian Neural Network26 Jul 2022 0 repositories listed
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Sliced Wasserstein Variational Inference26 Jul 2022 0 repositories listed
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Learning Generalizable Latent Representations for Novel Degradations in Super Resolution25 Jul 2022 0 repositories listed
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Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection22 Jul 2022 0 repositories listed
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.