Browse State-of-the-Art › Bayesian Inference › Papers, page 17

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 17 of 23: papers 1,601 to 1,700 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.

• Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference
  22 Jun 2020 0 repositories listed
• Calibration of Model Uncertainty for Dropout Variational Inference
  20 Jun 2020 0 repositories listed
• Solving Differential Equations Using Neural Network Solution Bundles
  17 Jun 2020 0 repositories listed
• Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
  17 Jun 2020 0 repositories listed
• Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
  15 Jun 2020 0 repositories listed
• Hidden Markov Models Applied To Intraday Momentum Trading With Side Information
  15 Jun 2020 0 repositories listed
• Approximate Inference for Spectral Mixture Kernel
  12 Jun 2020 0 repositories listed
• Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
  12 Jun 2020 0 repositories listed
• A Variational View on Bootstrap Ensembles as Bayesian Inference
  8 Jun 2020 0 repositories listed
• Analogy as Nonparametric Bayesian Inference over Relational Systems
  7 Jun 2020 0 repositories listed
• Linguists Who Use Probabilistic Models Love Them: Quantification in Functional Distributional Semantics
  4 Jun 2020 0 repositories listed
• Variational Bayesian Inference for Crowdsourcing Predictions
  1 Jun 2020 0 repositories listed
• Adaptive quadrature schemes for Bayesian inference via active learning
  31 May 2020 0 repositories listed
• QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
  30 May 2020 0 repositories listed
• Probabilistic Object Classification using CNN ML-MAP layers
  29 May 2020 0 repositories listed
• VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics
  27 May 2020 0 repositories listed
• Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis
  24 May 2020 0 repositories listed
• Is there a wave excitation in the Thalamus?
  20 May 2020 0 repositories listed
• Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation
  14 May 2020 0 repositories listed
• Building general Langevin models from discrete data sets
  13 May 2020 0 repositories listed
• Amortized Bayesian Inference for Models of Cognition
  8 May 2020 0 repositories listed
• Data-Driven Verification under Signal Temporal Logic Constraints
  8 May 2020 0 repositories listed
• ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
  5 May 2020 0 repositories listed
• A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition
  25 Apr 2020 0 repositories listed
• Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence
  24 Apr 2020 0 repositories listed
• Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
  23 Apr 2020 0 repositories listed
• Gaussian Process Learning-based Probabilistic Optimal Power Flow
  16 Apr 2020 0 repositories listed
• Bayesian Consensus: Consensus Estimates from Miscalibrated Instruments under Heteroscedastic Noise
  14 Apr 2020 0 repositories listed
• Scaling Bayesian inference of mixed multinomial logit models to very large datasets
  11 Apr 2020 0 repositories listed
• Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring
  10 Apr 2020 0 repositories listed
• Active recursive Bayesian inference using Rényi information measures
  7 Apr 2020 0 repositories listed
• B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning
  6 Apr 2020 0 repositories listed
• The equivalence between Stein variational gradient descent and black-box variational inference
  4 Apr 2020 0 repositories listed
• Regression Approach for Modeling COVID-19 Spread and its Impact On Stock Market
  2 Apr 2020 0 repositories listed
• Bayesian ODE Solvers: The Maximum A Posteriori Estimate
  1 Apr 2020 0 repositories listed
• A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
  16 Mar 2020 0 repositories listed
• An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
  9 Mar 2020 0 repositories listed
• The Variational InfoMax Learning Objective
  7 Mar 2020 0 repositories listed
• Deep Active Inference for Autonomous Robot Navigation
  6 Mar 2020 0 repositories listed
• PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
  1 Mar 2020 0 repositories listed
• MC²RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference
  28 Feb 2020 0 repositories listed
• Fast Convergence for Langevin with Matrix Manifold Structure
  26 Feb 2020 0 repositories listed
• Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations
  24 Feb 2020 0 repositories listed
• Generalized Bayesian Filtering via Sequential Monte Carlo
  23 Feb 2020 0 repositories listed
• Fast Convergence for Langevin Diffusion with Manifold Structure
  13 Feb 2020 0 repositories listed
• Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
  13 Feb 2020 0 repositories listed
• Sequential Cooperative Bayesian Inference
  13 Feb 2020 0 repositories listed
• The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
  7 Feb 2020 0 repositories listed
• Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
  6 Feb 2020 0 repositories listed
• Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
  6 Feb 2020 0 repositories listed
• Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
  31 Jan 2020 0 repositories listed
• Transport Gaussian Processes for Regression
  30 Jan 2020 0 repositories listed
• Bayesian Reasoning with Trained Neural Networks
  29 Jan 2020 0 repositories listed
• The Case for Bayesian Deep Learning
  29 Jan 2020 0 repositories listed
• Heterogeneous Learning from Demonstration
  27 Jan 2020 0 repositories listed
• A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting
  23 Jan 2020 0 repositories listed
• Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
  17 Jan 2020 0 repositories listed
• Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach
  14 Jan 2020 0 repositories listed
• Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling
  14 Jan 2020 0 repositories listed
• A Technical Critique of Some Parts of the Free Energy Principle
  12 Jan 2020 0 repositories listed
• Probabilistic Reasoning across the Causal Hierarchy
  9 Jan 2020 0 repositories listed
• Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
  1 Jan 2020 0 repositories listed
• Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
  1 Jan 2020 0 repositories listed
• Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
  31 Dec 2019 0 repositories listed
• Attention-Aware Answers of the Crowd
  24 Dec 2019 0 repositories listed
• Diagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers
  12 Dec 2019 0 repositories listed
• On the relationship between multitask neural networks and multitask Gaussian Processes
  12 Dec 2019 0 repositories listed
• A Closer Look at Disentangling in β-VAE
  11 Dec 2019 0 repositories listed
• Hidden Markov Model: Tutorial
  10 Dec 2019 0 repositories listed
• Overcoming Catastrophic Forgetting by Generative Regularization
  3 Dec 2019 0 repositories listed
• A Bayesian Inference Framework for Procedural Material Parameter Estimation
  2 Dec 2019 0 repositories listed
• On the geometry of Stein variational gradient descent
  2 Dec 2019 0 repositories listed
• Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
  1 Dec 2019 0 repositories listed
• A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport
  29 Nov 2019 0 repositories listed
• Efficient Approximate Inference with Walsh-Hadamard Variational Inference
  29 Nov 2019 0 repositories listed
• Transflow Learning: Repurposing Flow Models Without Retraining
  29 Nov 2019 0 repositories listed
• Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference
  17 Nov 2019 0 repositories listed
• Improved algorithm for neuronal ensemble inference by Monte Carlo method
  15 Nov 2019 0 repositories listed
• A Bayesian/Information Theoretic Model of Bias Learning
  14 Nov 2019 0 repositories listed
• Streaming Bayesian Inference for Crowdsourced Classification
  13 Nov 2019 0 repositories listed
• Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
  12 Nov 2019 0 repositories listed
• Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set
  6 Nov 2019 0 repositories listed
• Variational Bayesian inference of hidden stochastic processes with unknown parameters
  2 Nov 2019 0 repositories listed
• Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network
  1 Nov 2019 0 repositories listed
• Bayesian causal inference via probabilistic program synthesis
  30 Oct 2019 0 repositories listed
• A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
  29 Oct 2019 0 repositories listed
• Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
  29 Oct 2019 0 repositories listed
• Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
  28 Oct 2019 0 repositories listed
• Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
  26 Oct 2019 0 repositories listed
• Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models
  23 Oct 2019 0 repositories listed
• Variational Predictive Information Bottleneck
  23 Oct 2019 0 repositories listed
• Safe-Bayesian Generalized Linear Regression
  21 Oct 2019 0 repositories listed
• Why bigger is not always better: on finite and infinite neural networks
  17 Oct 2019 0 repositories listed
• Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs
  16 Oct 2019 0 repositories listed
• Efficient Bayesian Inference for Nested Simulators
  16 Oct 2019 0 repositories listed
• Exchangeable Variational Autoencoders with Applications to Genomic Data
  16 Oct 2019 0 repositories listed
• Gaussian Process Meta-Representations For Hierarchical Neural Network Weight Priors
  16 Oct 2019 0 repositories listed
• Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes
  16 Oct 2019 0 repositories listed
• Graph Tracking in Dynamic Probabilistic Programs via Source Transformations
  16 Oct 2019 0 repositories listed
• Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage
  16 Oct 2019 0 repositories listed