| Black Box Variational Inference | Dec 31, 2013 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Black-box Variational Inference for Stochastic Differential Equations | Feb 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Markov Spatio-Temporal Factorization | Mar 22, 2020 | ClusteringTime Series | CodeCode Available | 0 | 5 |
| Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach | Jan 30, 2024 | Activity DetectionVariational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Predictive Collective Variable Discovery with Deep Bayesian Models | Sep 18, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Globally Convergent Variational Inference | Jan 14, 2025 | Variational Inference | CodeCode Available | 0 | 5 |
| Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series | Nov 4, 2021 | Data IntegrationDecoder | CodeCode Available | 0 | 5 |
| A Joint Learning Model with Variational Interaction for Multilingual Program Translation | Aug 25, 2024 | DisentanglementTranslation | CodeCode Available | 0 | 5 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Projective Integral Updates for High-Dimensional Variational Inference | Jan 20, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems | Oct 2, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes with Importance-Weighted Variational Inference | May 14, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes for Air Quality Inference | Nov 18, 2022 | Air Quality InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Proximity Variational Inference | May 24, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Boosting Black Box Variational Inference | Jun 6, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
