Browse State-of-the-Art › Variational Inference › Papers, page 12
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 12 of 23: papers 1,101 to 1,200 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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Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks6 Jan 2024 0 repositories listed
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Complementary Information Mutual Learning for Multimodality Medical Image Segmentation5 Jan 2024 0 repositories listed
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GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework27 Dec 2023 0 repositories listed
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Robust Node Representation Learning via Graph Variational Diffusion Networks18 Dec 2023 0 repositories listed
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Bayesian Model Selection via Mean-Field Variational Approximation17 Dec 2023 0 repositories listed
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Joint State Estimation and Noise Identification Based on Variational Optimization15 Dec 2023 0 repositories listed
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WISE: full-Waveform variational Inference via Subsurface Extensions11 Dec 2023 0 repositories listed
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Sparse Variational Student-t Processes9 Dec 2023 0 repositories listed
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Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities2 Dec 2023 0 repositories listed
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Identifiable Feature Learning for Spatial Data with Nonlinear ICA28 Nov 2023 0 repositories listed
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Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning24 Nov 2023 0 repositories listed
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Favour: FAst Variance Operator for Uncertainty Rating21 Nov 2023 0 repositories listed
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On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning21 Nov 2023 0 repositories listed
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Variational Elliptical Processes21 Nov 2023 0 repositories listed
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Neural Graph Collaborative Filtering Using Variational Inference20 Nov 2023 0 repositories listed
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Bayesian Neural Networks: A Min-Max Game Framework18 Nov 2023 0 repositories listed
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Informative Priors Improve the Reliability of Multimodal Clinical Data Classification17 Nov 2023 0 repositories listed
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A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series16 Nov 2023 0 repositories listed
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Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models14 Nov 2023 0 repositories listed
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A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options13 Nov 2023 0 repositories listed
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PGODE: Towards High-quality System Dynamics Modeling11 Nov 2023 0 repositories listed
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Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization10 Nov 2023 0 repositories listed
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Forward χ² Divergence Based Variational Importance Sampling4 Nov 2023 0 repositories listed
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Disentangled Representation Learning with Transmitted Information Bottleneck3 Nov 2023 0 repositories listed
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VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification2 Nov 2023 0 repositories listed
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Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images30 Oct 2023 0 repositories listed
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DySurv: dynamic deep learning model for survival analysis with conditional variational inference28 Oct 2023 0 repositories listed
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Deep Transformed Gaussian Processes27 Oct 2023 0 repositories listed
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The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability26 Oct 2023 0 repositories listed
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Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks25 Oct 2023 0 repositories listed
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Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions25 Oct 2023 0 repositories listed
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Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference25 Oct 2023 0 repositories listed
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Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference24 Oct 2023 0 repositories listed
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Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery20 Oct 2023 0 repositories listed
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Variational Inference for SDEs Driven by Fractional Noise19 Oct 2023 0 repositories listed
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Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning17 Oct 2023 0 repositories listed
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Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning5 Oct 2023 0 repositories listed
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Sampling via Gradient Flows in the Space of Probability Measures5 Oct 2023 0 repositories listed
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Variational Inference for GARCH-family Models5 Oct 2023 0 repositories listed
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STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent3 Oct 2023 0 repositories listed
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Reparameterized Variational Rejection Sampling26 Sep 2023 0 repositories listed
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Variational Inference for Scalable 3D Object-centric Learning25 Sep 2023 0 repositories listed
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Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations23 Sep 2023 0 repositories listed
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Semi-Supervised Variational Inference over Nonlinear Channels21 Sep 2023 0 repositories listed
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models20 Sep 2023 0 repositories listed
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Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder19 Sep 2023 0 repositories listed
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Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming13 Sep 2023 0 repositories listed
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Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference6 Sep 2023 0 repositories listed
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Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks6 Sep 2023 0 repositories listed
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Exact Inference for Continuous-Time Gaussian Process Dynamics5 Sep 2023 0 repositories listed
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Interactive Graph Convolutional Filtering4 Sep 2023 0 repositories listed
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PAVI: Plate-Amortized Variational Inference30 Aug 2023 0 repositories listed
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Multi-Response Heteroscedastic Gaussian Process Models and Their Inference29 Aug 2023 0 repositories listed
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Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach25 Aug 2023 0 repositories listed
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Bayesian Exploration Networks24 Aug 2023 0 repositories listed
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Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks17 Aug 2023 0 repositories listed
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Bayesian polynomial neural networks and polynomial neural ordinary differential equations17 Aug 2023 0 repositories listed
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A Survey on Brain-Inspired Deep Learning via Predictive Coding15 Aug 2023 0 repositories listed
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Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference15 Aug 2023 0 repositories listed
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Probabilistic Neural Transfer Function Estimation with Bayesian System Identification11 Aug 2023 0 repositories listed
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Comparing the quality of neural network uncertainty estimates for classification problems11 Aug 2023 0 repositories listed
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Learning Distributions via Monte-Carlo Marginalization11 Aug 2023 0 repositories listed
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Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks11 Aug 2023 0 repositories listed
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Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns10 Aug 2023 0 repositories listed
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Path Signatures for Diversity in Probabilistic Trajectory Optimisation8 Aug 2023 0 repositories listed
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VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference2 Aug 2023 0 repositories listed
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Variational Label-Correlation Enhancement for Congestion Prediction1 Aug 2023 0 repositories listed
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HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer30 Jul 2023 0 repositories listed
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Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?27 Jul 2023 0 repositories listed
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Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation21 Jul 2023 0 repositories listed
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Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference14 Jul 2023 0 repositories listed
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Function-Space Regularization for Deep Bayesian Classification12 Jul 2023 0 repositories listed
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Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations12 Jul 2023 0 repositories listed
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A Causal Ordering Prior for Unsupervised Representation Learning11 Jul 2023 0 repositories listed
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Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference10 Jul 2023 0 repositories listed
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Probabilistic Test-Time Generalization by Variational Neighbor-Labeling8 Jul 2023 0 repositories listed
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Personalized Federated Learning via Amortized Bayesian Meta-Learning5 Jul 2023 0 repositories listed
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Thompson sampling for improved exploration in GFlowNets30 Jun 2023 0 repositories listed
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Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference27 Jun 2023 0 repositories listed
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Variational latent discrete representation for time series modelling27 Jun 2023 0 repositories listed
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Structure-Sensitive Graph Dictionary Embedding for Graph Classification18 Jun 2023 0 repositories listed
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Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation17 Jun 2023 0 repositories listed
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A Heavy-Tailed Algebra for Probabilistic Programming15 Jun 2023 0 repositories listed
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Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems14 Jun 2023 0 repositories listed
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Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language13 Jun 2023 0 repositories listed
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Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma11 Jun 2023 0 repositories listed
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Deep Active Learning with Structured Neural Depth Search5 Jun 2023 0 repositories listed
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Provable convergence guarantees for black-box variational inference4 Jun 2023 0 repositories listed
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Balanced Training of Energy-Based Models with Adaptive Flow Sampling1 Jun 2023 0 repositories listed
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Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains1 Jun 2023 0 repositories listed
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On the Convergence of Coordinate Ascent Variational Inference1 Jun 2023 0 repositories listed
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Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency31 May 2023 0 repositories listed
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Federated Empirical Risk Minimization via Second-Order Method27 May 2023 0 repositories listed
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Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation27 May 2023 0 repositories listed
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A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods24 May 2023 0 repositories listed
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Bayesian calibration of differentiable agent-based models24 May 2023 0 repositories listed
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Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting24 May 2023 0 repositories listed
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On the Convergence of Black-Box Variational Inference24 May 2023 0 repositories listed
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Federated Variational Inference: Towards Improved Personalization and Generalization23 May 2023 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.