Browse State-of-the-Art › Bayesian Inference › Papers, page 16
Bayesian Inference
Papers archive 2025-07-28
archive papers tagged: 2,226 · with a code link: 747 · where Syntology ran a sample: 164 (135 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (164 of 2,226 tagged: 135 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument)
Page 16 of 23: papers 1,501 to 1,600 of 2,226, 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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Bayesian data-driven discovery of partial differential equations with variable coefficients2 Feb 2021 0 repositories listed
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Modeling German Word Order Acquisition via Bayesian Inference1 Feb 2021 0 repositories listed
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Human Inference in Changing Environments With Temporal Structure27 Jan 2021 0 repositories listed
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Fundamental limits and algorithms for sparse linear regression with sublinear sparsity27 Jan 2021 0 repositories listed
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Probabilistic Inference for Learning from Untrusted Sources15 Jan 2021 0 repositories listed
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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks11 Jan 2021 0 repositories listed
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Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming6 Jan 2021 0 repositories listed
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Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs5 Jan 2021 0 repositories listed
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Learning optimal Bayesian prior probabilities from data3 Jan 2021 0 repositories listed
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A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics1 Jan 2021 0 repositories listed
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Bayesian Context Aggregation for Neural Processes1 Jan 2021 0 repositories listed
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Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation1 Jan 2021 0 repositories listed
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Scalable Bayesian Inverse Reinforcement Learning by Auto-Encoding Reward1 Jan 2021 0 repositories listed
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Uncertainty Calibration Error: A New Metric for Multi-Class Classification1 Jan 2021 0 repositories listed
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Variational Multi-Task Learning1 Jan 2021 0 repositories listed
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A Tutorial on Sparse Gaussian Processes and Variational Inference27 Dec 2020 0 repositories listed
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On Batch Normalisation for Approximate Bayesian Inference24 Dec 2020 0 repositories listed
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Alternating linear scheme in a Bayesian framework for low-rank tensor approximation21 Dec 2020 0 repositories listed
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Recent advances in deep learning theory20 Dec 2020 0 repositories listed
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Forming Real-World Human-Robot Cooperation for Tasks With General Goal19 Dec 2020 0 repositories listed
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Lévy walks derived from a Bayesian decision-making model in non-stationary environments16 Dec 2020 0 repositories listed
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Bayesian Neural Ordinary Differential Equations14 Dec 2020 0 repositories listed
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Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent7 Dec 2020 0 repositories listed
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Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks1 Dec 2020 0 repositories listed
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Generalised Bayesian Filtering via Sequential Monte Carlo1 Dec 2020 0 repositories listed
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Online Bayesian Goal Inference for Boundedly Rational Planning Agents1 Dec 2020 0 repositories listed
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Distributed Variational Bayesian Algorithms Over Sensor Networks27 Nov 2020 0 repositories listed
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Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization25 Nov 2020 0 repositories listed
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Gaussian Density Parametrization Flow: Particle and Stochastic Approaches23 Nov 2020 0 repositories listed
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On the Inconsistency of Bayesian Inference for Misspecified Neural Networks23 Nov 2020 0 repositories listed
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Parametric Bootstrap Ensembles as Variational Inference23 Nov 2020 0 repositories listed
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Transforming Worlds: Automated Involutive MCMC for Open-Universe Probabilistic Models23 Nov 2020 0 repositories listed
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Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence23 Nov 2020 0 repositories listed
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Stein Variational Model Predictive Control15 Nov 2020 0 repositories listed
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On a Variational Approximation based Empirical Likelihood ABC Method12 Nov 2020 0 repositories listed
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Extending the statistical software package Engine for Likelihood-Free Inference8 Nov 2020 0 repositories listed
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Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation5 Nov 2020 0 repositories listed
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Problems using deep generative models for probabilistic audio source separation3 Nov 2020 0 repositories listed
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Differentially Private Bayesian Inference for Generalized Linear Models1 Nov 2020 0 repositories listed
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Subgroup-based Rank-1 Lattice Quasi-Monte Carlo29 Oct 2020 0 repositories listed
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Micro-CT Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference27 Oct 2020 0 repositories listed
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Bayesian Importance of Features (BIF)26 Oct 2020 0 repositories listed
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Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance26 Oct 2020 0 repositories listed
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Bayesian Inference in Physics-Driven Problems with Adversarial Priors23 Oct 2020 0 repositories listed
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From the Expectation Maximisation Algorithm to Autoencoded Variational Bayes23 Oct 2020 0 repositories listed
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Spike and slab variational Bayes for high dimensional logistic regression22 Oct 2020 0 repositories listed
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Bayesian Inference for Optimal Transport with Stochastic Cost19 Oct 2020 0 repositories listed
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Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference19 Oct 2020 0 repositories listed
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Quantification of Ebola virus replication kinetics in vitro19 Oct 2020 0 repositories listed
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Fundamental Linear Algebra Problem of Gaussian Inference15 Oct 2020 0 repositories listed
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Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging11 Oct 2020 0 repositories listed
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Learning Not to Learn: Nature versus Nurture in Silico9 Oct 2020 0 repositories listed
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Physics-constrained Bayesian inference of state functions in classical density-functional theory7 Oct 2020 0 repositories listed
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Learning Manifold Implicitly via Explicit Heat-Kernel Learning5 Oct 2020 0 repositories listed
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Bayesian Policy Search for Stochastic Domains1 Oct 2020 0 repositories listed
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Towards Scalable Bayesian Learning of Causal DAGs30 Sep 2020 0 repositories listed
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Amortized Conditional Normalized Maximum Likelihood28 Sep 2020 0 repositories listed
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Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference28 Sep 2020 0 repositories listed
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Multilevel Gibbs Sampling for Bayesian Regression25 Sep 2020 0 repositories listed
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Partially Observable Online Change Detection via Smooth-Sparse Decomposition22 Sep 2020 0 repositories listed
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Epidemic mitigation by statistical inference from contact tracing data20 Sep 2020 0 repositories listed
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Remote sensing image fusion based on Bayesian GAN20 Sep 2020 0 repositories listed
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Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference20 Sep 2020 0 repositories listed
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Optimality of short-term synaptic plasticity in modelling certain dynamic environments15 Sep 2020 0 repositories listed
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Density Estimation via Bayesian Inference Engines14 Sep 2020 0 repositories listed
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Tracking disease outbreaks from sparse data with Bayesian inference12 Sep 2020 0 repositories listed
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Non-linear fitting with joint spatial regularization in Arterial Spin Labeling10 Sep 2020 0 repositories listed
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Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior5 Sep 2020 0 repositories listed
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Bayesian Perceptron: Towards fully Bayesian Neural Networks3 Sep 2020 0 repositories listed
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The linear conditional expectation in Hilbert space27 Aug 2020 0 repositories listed
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Surrogate Model For Field Optimization Using Beta-VAE Based Regression26 Aug 2020 0 repositories listed
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Blindness of score-based methods to isolated components and mixing proportions23 Aug 2020 0 repositories listed
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Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles19 Aug 2020 0 repositories listed
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Bayesian geoacoustic inversion using mixture density network18 Aug 2020 0 repositories listed
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Bayesian neural networks and dimensionality reduction18 Aug 2020 0 repositories listed
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Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems14 Aug 2020 0 repositories listed
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BAT.jl -- A Julia-based tool for Bayesian inference7 Aug 2020 0 repositories listed
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Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes5 Aug 2020 0 repositories listed
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Bayesian Inference by Symbolic Model Checking29 Jul 2020 0 repositories listed
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Active pooling design in group testing based on Bayesian posterior prediction27 Jul 2020 0 repositories listed
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Deep Knowledge Tracing with Learning Curves26 Jul 2020 0 repositories listed
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Are low frequency macroeconomic variables important for high frequency electricity prices?24 Jul 2020 0 repositories listed
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Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks24 Jul 2020 0 repositories listed
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Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach17 Jul 2020 0 repositories listed
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SBI -- A toolkit for simulation-based inference17 Jul 2020 0 repositories listed
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Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows15 Jul 2020 0 repositories listed
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A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One14 Jul 2020 0 repositories listed
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BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty12 Jul 2020 0 repositories listed
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Characteristics of Monte Carlo Dropout in Wide Neural Networks10 Jul 2020 0 repositories listed
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Kernel Stein Generative Modeling6 Jul 2020 0 repositories listed
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Meta-Learning Divergences of Variational Inference6 Jul 2020 0 repositories listed
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Stochastic Variational Bayesian Inference for a Nonlinear Forward Model3 Jul 2020 0 repositories listed
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The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes3 Jul 2020 0 repositories listed
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AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference2 Jul 2020 0 repositories listed
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Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints2 Jul 2020 0 repositories listed
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WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale2 Jul 2020 0 repositories listed
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Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo1 Jul 2020 0 repositories listed
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Bayesian Low Rank Tensor Ring Model for Image Completion29 Jun 2020 0 repositories listed
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Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift26 Jun 2020 0 repositories listed
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The principles of adaptation in organisms and machines II: Thermodynamics of the Bayesian brain23 Jun 2020 0 repositories listed