| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale | Jul 8, 2019 | Bayesian InferenceCPU | CodeCode Available | 0 | 5 |
| Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities | May 20, 2024 | Bayesian InferenceZero-Shot Learning | CodeCode Available | 0 | 5 |
| DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks | Jun 7, 2019 | Autonomous DrivingBayesian Inference | CodeCode Available | 0 | 5 |
| Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows | Sep 17, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Adversarial α-divergence Minimization for Bayesian Approximate Inference | Sep 13, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences | Jun 6, 2018 | Bayesian InferenceChange Point Detection | CodeCode Available | 0 | 5 |
| Do Bayesian Variational Autoencoders Know What They Don't Know? | Dec 29, 2022 | Bayesian InferenceOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex | May 29, 2019 | Adversarial AttackBayesian Inference | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
| Exploring helical dynamos with machine learning | May 20, 2019 | Bayesian InferenceBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Approximate Bayesian Neural Doppler Imaging | Aug 20, 2021 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Distilling Importance Sampling for Likelihood Free Inference | Oct 8, 2019 | Bayesian InferenceEpidemiology | CodeCode Available | 0 | 5 |
| Distilling Model Knowledge | Oct 8, 2015 | Bayesian InferenceBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms | Oct 16, 2019 | Bayesian InferenceBenchmarking | CodeCode Available | 0 | 5 |
| Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse | Dec 1, 2019 | Bayesian InferenceDescriptive | CodeCode Available | 0 | 5 |
| Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference | Mar 7, 2022 | Bayesian InferenceDiagnostic | CodeCode Available | 0 | 5 |
| Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data | Jun 20, 2021 | Bayesian Inference | CodeCode Available | 0 | 5 |
| A Bayesian Method for Joint Clustering of Vectorial Data and Network Data | Oct 24, 2017 | Bayesian InferenceClustering | CodeCode Available | 0 | 5 |
| Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers | Jan 29, 2024 | Bayesian InferenceDistributed Optimization | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Learning on Distributed Data | Mar 3, 2017 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms | Dec 26, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |
| A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering | Jan 31, 2017 | Bayesian InferenceClustering | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Inference for Exponential Families | Sep 6, 2018 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 | 5 |
| A digital twin framework for civil engineering structures | Aug 2, 2023 | Bayesian InferenceCantilever Beam | CodeCode Available | 0 | 5 |
| Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation | Jun 18, 2015 | Bayesian InferencePosition | CodeCode Available | 0 | 5 |
| Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference | Sep 30, 2024 | Bayesian InferenceContinual Learning | CodeCode Available | 0 | 5 |
| Detecting structural perturbations from time series with deep learning | Jun 9, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk | May 21, 2019 | Bayesian InferenceBenchmarking | CodeCode Available | 0 | 5 |
| Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up | May 6, 2024 | Bayesian InferenceHyperparameter Optimization | CodeCode Available | 0 | 5 |
| A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items | Jan 7, 2022 | Bayesian InferenceDecoder | CodeCode Available | 0 | 5 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya | May 31, 2023 | Bayesian Inference | CodeCode Available | 0 | 5 |
| A Novel Deterministic Framework for Non-probabilistic Recommender Systems | Sep 2, 2018 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 0 | 5 |
| deBInfer: Bayesian inference for dynamical models of biological systems in R | Oct 15, 2016 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Deep Active Inference as Variational Policy Gradients | Jul 8, 2019 | Bayesian Inferencereinforcement-learning | CodeCode Available | 0 | 5 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Accelerated Stein Variational Gradient Flow | Mar 30, 2025 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 | 5 |
| Deep Bayesian inference for seismic imaging with tasks | Oct 10, 2021 | Bayesian InferenceInductive Bias | CodeCode Available | 0 | 5 |
| Deep Neural Networks as Gaussian Processes | Nov 1, 2017 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion | Oct 17, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Accelerated Information Gradient flow | Sep 4, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |
| Data-driven Approach for Interpolation of Sparse Data | May 2, 2025 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| COVID-19 detection using chest X-rays: is lung segmentation important for generalization? | Apr 12, 2021 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Greedy inference with structure-exploiting lazy maps | May 31, 2019 | Bayesian Inference | CodeCode Available | 0 | 5 |