Browse State-of-the-Art › Variational Inference › Papers, page 11
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 11 of 23: papers 1,001 to 1,100 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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On Divergence Measures for Training GFlowNets12 Oct 2024 0 repositories listed
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Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo11 Oct 2024 0 repositories listed
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Efficient Reinforcement Learning with Large Language Model Priors10 Oct 2024 0 repositories listed
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Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models10 Oct 2024 0 repositories listed
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Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors8 Oct 2024 0 repositories listed
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Pathwise Gradient Variance Reduction with Control Variates in Variational Inference8 Oct 2024 0 repositories listed
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Score-Based Variational Inference for Inverse Problems8 Oct 2024 0 repositories listed
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5 Oct 2024 0 repositories listed Syntology 6 ran (of which 4 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified (of 14 harvested samples) · 14 pointer-only (licence)
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Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold3 Oct 2024 0 repositories listed
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Variational Source-Channel Coding for Semantic Communication26 Sep 2024 0 repositories listed
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Functional Stochastic Gradient MCMC for Bayesian Neural Networks25 Sep 2024 0 repositories listed
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Amortized Variational Inference for Deep Gaussian Processes18 Sep 2024 0 repositories listed
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Latent mixed-effect models for high-dimensional longitudinal data17 Sep 2024 0 repositories listed
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Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions12 Sep 2024 0 repositories listed
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A Primer on Variational Inference for Physics-Informed Deep Generative Modelling10 Sep 2024 0 repositories listed
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Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping6 Sep 2024 0 repositories listed
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Sample what you cant compress4 Sep 2024 0 repositories listed
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Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging27 Aug 2024 0 repositories listed
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Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes24 Aug 2024 0 repositories listed
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Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification18 Aug 2024 0 repositories listed
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Uncertainty Quantification in Alzheimer's Disease Progression Modeling13 Aug 2024 0 repositories listed
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Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks10 Aug 2024 0 repositories listed
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A Non-negative VAE:the Generalized Gamma Belief Network6 Aug 2024 0 repositories listed
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Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification1 Aug 2024 0 repositories listed
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Distance-Preserving Spatial Representations in Genomic Data1 Aug 2024 0 repositories listed
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Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network26 Jul 2024 0 repositories listed
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Variational Inference Using Material Point Method26 Jul 2024 0 repositories listed
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Amortized Posterior Sampling with Diffusion Prior Distillation25 Jul 2024 0 repositories listed
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Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes24 Jul 2024 0 repositories listed
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Gradient-based inference of abstract task representations for generalization in neural networks24 Jul 2024 0 repositories listed
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Neural information field filter23 Jul 2024 0 repositories listed
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Revisiting Score Function Estimators for k-Subset Sampling22 Jul 2024 0 repositories listed
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Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework20 Jul 2024 0 repositories listed
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Improving Graph Out-of-distribution Generalization on Real-world Data14 Jul 2024 0 repositories listed
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Variational Inference via Smoothed Particle Hydrodynamics12 Jul 2024 0 repositories listed
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Autoregressive Speech Synthesis without Vector Quantization11 Jul 2024 0 repositories listed
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Variational Best-of-N Alignment8 Jul 2024 0 repositories listed
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Idiographic Personality Gaussian Process for Psychological Assessment6 Jul 2024 0 repositories listed
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Neural Probabilistic Logic Learning for Knowledge Graph Reasoning4 Jul 2024 0 repositories listed
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Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference2 Jul 2024 0 repositories listed
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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models30 Jun 2024 0 repositories listed
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Amplify Graph Learning for Recommendation via Sparsity Completion27 Jun 2024 0 repositories listed
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Learning Optimal Filters Using Variational Inference26 Jun 2024 0 repositories listed
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Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference25 Jun 2024 0 repositories listed
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CausalMMM: Learning Causal Structure for Marketing Mix Modeling24 Jun 2024 0 repositories listed
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Probabilistic Programming with Programmable Variational Inference22 Jun 2024 0 repositories listed
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Video Generation with Learned Action Prior20 Jun 2024 0 repositories listed
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Variational Distillation of Diffusion Policies into Mixture of Experts18 Jun 2024 0 repositories listed
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Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis14 Jun 2024 0 repositories listed
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Assessment of Uncertainty Quantification in Universal Differential Equations13 Jun 2024 0 repositories listed
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Injective flows for star-like manifolds13 Jun 2024 0 repositories listed
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Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity11 Jun 2024 0 repositories listed
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Central Limit Theorem for Bayesian Neural Network trained with Variational Inference10 Jun 2024 0 repositories listed
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Stochastic full waveform inversion with deep generative prior for uncertainty quantification7 Jun 2024 0 repositories listed
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Variational Flow Matching for Graph Generation7 Jun 2024 0 repositories listed
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Approximation-Aware Bayesian Optimization6 Jun 2024 0 repositories listed
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Concurrent Training and Layer Pruning of Deep Neural Networks6 Jun 2024 0 repositories listed
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Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks6 Jun 2024 0 repositories listed
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Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians6 Jun 2024 0 repositories listed
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Posterior and variational inference for deep neural networks with heavy-tailed weights5 Jun 2024 0 repositories listed
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Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics5 Jun 2024 0 repositories listed
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You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference5 Jun 2024 0 repositories listed
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Understanding Stochastic Natural Gradient Variational Inference4 Jun 2024 0 repositories listed
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Modeling Randomly Observed Spatiotemporal Dynamical Systems1 Jun 2024 0 repositories listed
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Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks30 May 2024 0 repositories listed
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Rényi Neural Processes25 May 2024 0 repositories listed
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A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search24 May 2024 0 repositories listed
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On the Identification of Temporally Causal Representation with Instantaneous Dependence24 May 2024 0 repositories listed
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Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder16 May 2024 0 repositories listed
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Variance Control for Black Box Variational Inference Using The James-Stein Estimator9 May 2024 0 repositories listed
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8 May 2024 0 repositories listed
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Scalable Amortized GPLVMs for Single Cell Transcriptomics Data6 May 2024 0 repositories listed
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Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities3 May 2024 0 repositories listed
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Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection23 Apr 2024 0 repositories listed
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Bayesian evidence estimation from posterior samples with normalizing flows18 Apr 2024 0 repositories listed
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Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control15 Apr 2024 0 repositories listed
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Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows15 Apr 2024 0 repositories listed
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Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation14 Apr 2024 0 repositories listed
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Convergence of coordinate ascent variational inference for log-concave measures via optimal transport12 Apr 2024 0 repositories listed
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Modeling uncertainty for Gaussian Splatting27 Mar 2024 0 repositories listed
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Fast and Unified Path Gradient Estimators for Normalizing Flows23 Mar 2024 0 repositories listed
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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models22 Mar 2024 0 repositories listed
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VISA: Variational Inference with Sequential Sample-Average Approximations14 Mar 2024 0 repositories listed
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Nonparametric Automatic Differentiation Variational Inference with Spline Approximation10 Mar 2024 0 repositories listed
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Variational Inference of Parameters in Opinion Dynamics Models8 Mar 2024 0 repositories listed
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Language-guided Skill Learning with Temporal Variational Inference26 Feb 2024 0 repositories listed
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Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference26 Feb 2024 0 repositories listed
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A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties22 Feb 2024 0 repositories listed
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Bayesian Neural Networks with Domain Knowledge Priors20 Feb 2024 0 repositories listed
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Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes17 Feb 2024 0 repositories listed
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Variational Entropy Search for Adjusting Expected Improvement17 Feb 2024 0 repositories listed
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MCMC-driven learning14 Feb 2024 0 repositories listed
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Variational Continual Test-Time Adaptation13 Feb 2024 0 repositories listed
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Variational DAG Estimation via State Augmentation With Stochastic Permutations4 Feb 2024 0 repositories listed
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A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing2 Feb 2024 0 repositories listed
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Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability26 Jan 2024 0 repositories listed
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Towards Improved Variational Inference for Deep Bayesian Models23 Jan 2024 0 repositories listed
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Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations22 Jan 2024 0 repositories listed
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Provably Scalable Black-Box Variational Inference with Structured Variational Families19 Jan 2024 0 repositories listed
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Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning13 Jan 2024 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.