Browse State-of-the-Art › Variational Inference › Papers, page 10
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 10 of 23: papers 901 to 1,000 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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Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference27 May 2025 0 repositories listed
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Variational Deep Learning via Implicit Regularization26 May 2025 0 repositories listed
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Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition24 May 2025 0 repositories listed
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Efficient Training of Neural SDEs Using Stochastic Optimal Control22 May 2025 0 repositories listed
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Exponential Convergence of CAVI for Bayesian PCA22 May 2025 0 repositories listed
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Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation20 May 2025 0 repositories listed
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Training Latent Diffusion Models with Interacting Particle Algorithms18 May 2025 0 repositories listed
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Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression16 May 2025 0 repositories listed
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FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering15 May 2025 0 repositories listed
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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism12 May 2025 0 repositories listed
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Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach12 May 2025 0 repositories listed
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Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review12 May 2025 0 repositories listed
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Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation8 May 2025 0 repositories listed
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Variational Formulation of the Particle Flow Particle Filter6 May 2025 0 repositories listed
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IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data2 May 2025 0 repositories listed
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Factor Analysis with Correlated Topic Model for Multi-Modal Data26 Apr 2025 0 repositories listed
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Expected Free Energy-based Planning as Variational Inference21 Apr 2025 0 repositories listed
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Uncertainty quantification of neural network models of evolving processes via Langevin sampling21 Apr 2025 0 repositories listed
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Large Language Bayes18 Apr 2025 0 repositories listed
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Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks15 Apr 2025 0 repositories listed
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No-Regret Generative Modeling via Parabolic Monge-Ampère PDE12 Apr 2025 0 repositories listed
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Unifying and extending Diffusion Models through PDEs for solving Inverse Problems10 Apr 2025 0 repositories listed
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Variational Self-Supervised Learning6 Apr 2025 0 repositories listed
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Accelerating Particle-based Energetic Variational Inference4 Apr 2025 0 repositories listed
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Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching4 Apr 2025 0 repositories listed
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Stochastic Variational Inference with Tuneable Stochastic Annealing4 Apr 2025 0 repositories listed
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UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows29 Mar 2025 0 repositories listed
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Data-driven Seasonal Climate Predictions via Variational Inference and Transformers26 Mar 2025 0 repositories listed
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A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation24 Mar 2025 0 repositories listed
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AutoBayes: A Compositional Framework for Generalized Variational Inference24 Mar 2025 0 repositories listed
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Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems24 Mar 2025 0 repositories listed
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Joint Sparse Graph for Enhanced MIMO-AFDM Receiver Design24 Mar 2025 0 repositories listed
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Unsupervised Variational Acoustic Clustering24 Mar 2025 0 repositories listed
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FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation23 Mar 2025 0 repositories listed
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Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference18 Mar 2025 0 repositories listed
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Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control14 Mar 2025 0 repositories listed
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Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network13 Mar 2025 0 repositories listed
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Seal Your Backdoor with Variational Defense11 Mar 2025 0 repositories listed
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Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder9 Mar 2025 0 repositories listed
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Vairiational Stochastic Games8 Mar 2025 0 repositories listed
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Vector Copula Variational Inference and Dependent Block Posterior Approximations3 Mar 2025 0 repositories listed
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Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling1 Mar 2025 0 repositories listed
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Actively Inferring Optimal Measurement Sequences25 Feb 2025 0 repositories listed
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Logit Disagreement: OoD Detection with Bayesian Neural Networks21 Feb 2025 0 repositories listed
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Confidence Estimation via Sequential Likelihood Mixing20 Feb 2025 0 repositories listed
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Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions20 Feb 2025 0 repositories listed
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Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference19 Feb 2025 0 repositories listed
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Federated Variational Inference for Bayesian Mixture Models18 Feb 2025 0 repositories listed
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Simplify RLHF as Reward-Weighted SFT: A Variational Method16 Feb 2025 0 repositories listed
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Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics12 Feb 2025 0 repositories listed
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Quantification of model error for inverse problems in the Weak Neural Variational Inference framework11 Feb 2025 0 repositories listed
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Functional Complexity-adaptive Temporal Tensor Decomposition10 Feb 2025 0 repositories listed
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Koopman-Equivariant Gaussian Processes10 Feb 2025 0 repositories listed
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Bridging the inference gap in Mutimodal Variational Autoencoders6 Feb 2025 0 repositories listed
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Mixture of neural operator experts for learning boundary conditions and model selection6 Feb 2025 0 repositories listed
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Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis4 Feb 2025 0 repositories listed
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2 Feb 2025 0 repositories listed Syntology 2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 3 harvested samples) · 3 pointer-only (licence)
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A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization30 Jan 2025 0 repositories listed
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ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks30 Jan 2025 0 repositories listed
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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer26 Jan 2025 0 repositories listed
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Deep Operator Networks for Bayesian Parameter Estimation in PDEs18 Jan 2025 0 repositories listed
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A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading17 Jan 2025 0 repositories listed
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Analog Bayesian neural networks are insensitive to the shape of the weight distribution9 Jan 2025 0 repositories listed
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Generative Flow Networks: Theory and Applications to Structure Learning9 Jan 2025 0 repositories listed
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A Particle Algorithm for Mean-Field Variational Inference29 Dec 2024 0 repositories listed
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Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes27 Dec 2024 0 repositories listed
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PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation25 Dec 2024 0 repositories listed
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Convergence of Statistical Estimators via Mutual Information Bounds24 Dec 2024 0 repositories listed
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Learning Set Functions with Implicit Differentiation15 Dec 2024 0 repositories listed
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Efficient Generative Modeling with Residual Vector Quantization-Based Tokens13 Dec 2024 0 repositories listed
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Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification12 Dec 2024 0 repositories listed
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Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI11 Dec 2024 0 repositories listed
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DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection6 Dec 2024 0 repositories listed
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Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations1 Dec 2024 0 repositories listed
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VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference28 Nov 2024 0 repositories listed
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Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial24 Nov 2024 0 repositories listed
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Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks21 Nov 2024 0 repositories listed
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Variational Autoencoders for Efficient Simulation-Based Inference21 Nov 2024 0 repositories listed
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C²INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention19 Nov 2024 0 repositories listed
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LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport19 Nov 2024 0 repositories listed
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Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning18 Nov 2024 0 repositories listed
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Discovering Latent Structural Causal Models from Spatio-Temporal Data8 Nov 2024 0 repositories listed
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Streaming Bayes GFlowNets8 Nov 2024 0 repositories listed
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Recursive Learning of Asymptotic Variational Objectives4 Nov 2024 0 repositories listed
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EigenVI: score-based variational inference with orthogonal function expansions31 Oct 2024 0 repositories listed
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Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors29 Oct 2024 0 repositories listed
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SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication29 Oct 2024 0 repositories listed
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Variational inference for pile-up removal at hadron colliders with diffusion models29 Oct 2024 0 repositories listed
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Likelihood approximations via Gaussian approximate inference28 Oct 2024 0 repositories listed
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Noise-Aware Differentially Private Variational Inference25 Oct 2024 0 repositories listed
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Evolving Voices Based on Temporal Poisson Factorisation24 Oct 2024 0 repositories listed
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Semi-Implicit Functional Gradient Flow for Efficient Sampling23 Oct 2024 0 repositories listed
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A Trust-Region Method for Graphical Stein Variational Inference21 Oct 2024 0 repositories listed
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Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction19 Oct 2024 0 repositories listed
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Predictive variational inference: Learn the predictively optimal posterior distribution18 Oct 2024 0 repositories listed
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A theoretical perspective on mode collapse in variational inference17 Oct 2024 0 repositories listed
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Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound15 Oct 2024 0 repositories listed
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Optimal lower bounds for logistic log-likelihoods14 Oct 2024 0 repositories listed
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Stein Variational Evolution Strategies14 Oct 2024 0 repositories listed
Syntology lines on 2 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.