Browse State-of-the-Art › Bayesian Inference › Papers, page 18
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 18 of 23: papers 1,701 to 1,800 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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Neural Permutation Processes16 Oct 2019 0 repositories listed
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Stein Variational Gradient Descent for Approximate Bayesian Computation16 Oct 2019 0 repositories listed
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Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition14 Oct 2019 0 repositories listed
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Variational Tracking and Prediction with Generative Disentangled State-Space Models14 Oct 2019 0 repositories listed
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Stochastic triangular mesh mapping: A terrain mapping technique for autonomous mobile robots8 Oct 2019 0 repositories listed
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Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction7 Oct 2019 0 repositories listed
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Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization4 Oct 2019 0 repositories listed
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A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models3 Oct 2019 0 repositories listed
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Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference1 Oct 2019 0 repositories listed
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Non-Gaussian processes and neural networks at finite widths30 Sep 2019 0 repositories listed
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Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex25 Sep 2019 0 repositories listed
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bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)25 Sep 2019 0 repositories listed
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Gaussian Process Meta-Representations Of Neural Networks25 Sep 2019 0 repositories listed
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Learning Curves for Deep Neural Networks: A field theory perspective25 Sep 2019 0 repositories listed
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Meta-Learning for Variational Inference25 Sep 2019 0 repositories listed
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Mixture Distributions for Scalable Bayesian Inference25 Sep 2019 0 repositories listed
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On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks25 Sep 2019 0 repositories listed
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Quantifying uncertainty with GAN-based priors25 Sep 2019 0 repositories listed
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Refining the variational posterior through iterative optimization25 Sep 2019 0 repositories listed
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A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series24 Sep 2019 0 repositories listed
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Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control21 Sep 2019 0 repositories listed
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Learn to Estimate Labels Uncertainty for Quality Assurance17 Sep 2019 0 repositories listed
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Prediction Uncertainty Estimation for Hate Speech Classification16 Sep 2019 0 repositories listed
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GAN priors for Bayesian inference14 Sep 2019 0 repositories listed
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Efficient Bayesian synthetic likelihood with whitening transformations11 Sep 2019 0 repositories listed
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Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing19 Aug 2019 0 repositories listed
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Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control12 Aug 2019 0 repositories listed
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Bayesian Inference for Large Scale Image Classification9 Aug 2019 0 repositories listed
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Convergence Rates of Variational Inference in Sparse Deep Learning9 Aug 2019 0 repositories listed
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Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm6 Aug 2019 0 repositories listed
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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement31 Jul 2019 0 repositories listed
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Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI27 Jul 2019 0 repositories listed
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Bayesian Inference with Generative Adversarial Network Priors22 Jul 2019 0 repositories listed
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SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations17 Jul 2019 0 repositories listed
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Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference15 Jul 2019 0 repositories listed
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Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling14 Jul 2019 0 repositories listed
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Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data8 Jul 2019 0 repositories listed
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Thompson Sampling on Symmetric α-Stable Bandits8 Jul 2019 0 repositories listed
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Variational Inference MPC for Bayesian Model-based Reinforcement Learning8 Jul 2019 0 repositories listed
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Learning in Volatile Environments with the Bayes Factor Surprise5 Jul 2019 0 repositories listed
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Probabilistic CCA with Implicit Distributions4 Jul 2019 0 repositories listed
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Adaptive particle-based approximations of the Gibbs posterior for inverse problems2 Jul 2019 0 repositories listed
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Bandit Learning for Diversified Interactive Recommendation1 Jul 2019 0 repositories listed
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Bayesian Inference of Spacecraft Pose using Particle Filtering26 Jun 2019 0 repositories listed
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Parameter Estimation and Uncertainty Quantification for Systems Biology Models26 Jun 2019 0 repositories listed
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Probabilistic model predictive safety certification for learning-based control25 Jun 2019 0 repositories listed
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Confidence Calibration for Convolutional Neural Networks Using Structured Dropout23 Jun 2019 0 repositories listed
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Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective12 Jun 2019 0 repositories listed
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Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models10 Jun 2019 0 repositories listed
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Hierarchical Bayesian myocardial perfusion quantification6 Jun 2019 0 repositories listed
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Sparse Bayesian Learning Approach for Discrete Signal Reconstruction1 Jun 2019 0 repositories listed
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Generalizing Eye Tracking With Bayesian Adversarial Learning1 Jun 2019 0 repositories listed
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Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators30 May 2019 0 repositories listed
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Data Augementation with Polya Inverse Gamma29 May 2019 0 repositories listed
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Switching Linear Dynamics for Variational Bayes Filtering29 May 2019 0 repositories listed
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Walsh-Hadamard Variational Inference for Bayesian Deep Learning27 May 2019 0 repositories listed
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Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models26 May 2019 0 repositories listed
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Variational Bayes: A report on approaches and applications26 May 2019 0 repositories listed
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Decentralized Bayesian Learning over Graphs24 May 2019 0 repositories listed
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Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting23 May 2019 0 repositories listed
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Accelerating Langevin Sampling with Birth-death23 May 2019 0 repositories listed
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LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations17 May 2019 0 repositories listed
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Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference14 May 2019 0 repositories listed
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Variational approximations using Fisher divergence13 May 2019 0 repositories listed
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Spectral Reconstruction with Deep Neural Networks10 May 2019 0 repositories listed
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A Latent Variational Framework for Stochastic Optimization5 May 2019 0 repositories listed
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Variational Domain Adaptation1 May 2019 0 repositories listed
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Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout29 Apr 2019 0 repositories listed
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Few-Shot Bayesian Imitation Learning with Logical Program Policies12 Apr 2019 0 repositories listed
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Compressed sensing reconstruction using Expectation Propagation10 Apr 2019 0 repositories listed
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A Generalization Bound for Online Variational Inference8 Apr 2019 0 repositories listed
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The Kikuchi Hierarchy and Tensor PCA8 Apr 2019 0 repositories listed
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Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints21 Mar 2019 0 repositories listed
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Weighted Mean Curvature17 Mar 2019 0 repositories listed
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A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior13 Mar 2019 0 repositories listed
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Elements of Sequential Monte Carlo12 Mar 2019 0 repositories listed
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Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory12 Mar 2019 0 repositories listed
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Embarrassingly parallel MCMC using deep invertible transformations11 Mar 2019 0 repositories listed
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Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM6 Mar 2019 0 repositories listed
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Joint Perception and Control as Inference with an Object-based Implementation4 Mar 2019 0 repositories listed
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V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures4 Mar 2019 0 repositories listed
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Approximation Properties of Variational Bayes for Vector Autoregressions2 Mar 2019 0 repositories listed
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Adaptive Gaussian Copula ABC27 Feb 2019 0 repositories listed
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Manifold Optimization Assisted Gaussian Variational Approximation11 Feb 2019 0 repositories listed
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A stochastic version of Stein Variational Gradient Descent for efficient sampling9 Feb 2019 0 repositories listed
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Low-pass filtering as Bayesian inference9 Feb 2019 0 repositories listed
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A Bayesian Approach for Accurate Classification-Based Aggregates6 Feb 2019 0 repositories listed
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Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference4 Feb 2019 0 repositories listed
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Predictive Uncertainty Quantification with Compound Density Networks4 Feb 2019 0 repositories listed
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Sequential Bayesian Detection of Spike Activities from Fluorescence Observations31 Jan 2019 0 repositories listed
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What does the free energy principle tell us about the brain?23 Jan 2019 0 repositories listed
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A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data18 Jan 2019 0 repositories listed
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Theory of Minds: Understanding Behavior in Groups Through Inverse Planning18 Jan 2019 0 repositories listed
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Multi-modal Ensemble Classification for Generalized Zero Shot Learning15 Jan 2019 0 repositories listed
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Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership12 Jan 2019 0 repositories listed
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Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning8 Jan 2019 0 repositories listed
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Can You Trust This Prediction? Auditing Pointwise Reliability After Learning2 Jan 2019 0 repositories listed
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Guess Who's Coming (and Who's Going): Bringing Perspective to the Rational Speech Acts Framework1 Jan 2019 0 repositories listed
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Physics-Based Learning for Robotic Environmental Sensing10 Dec 2018 0 repositories listed