| Orthogonally Decoupled Variational Gaussian Processes | Sep 24, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models | Jun 13, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Heron Inference for Bayesian Graphical Models | Feb 19, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 | 5 |
| Heterogeneous Multi-output Gaussian Process Prediction | May 19, 2018 | Gaussian ProcessesPrediction | CodeCode Available | 0 | 5 |
| Hierarchical Importance Weighted Autoencoders | May 13, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Handling the Positive-Definite Constraint in the Bayesian Learning Rule | Feb 24, 2020 | validVariational Inference | CodeCode Available | 0 | 5 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 | 5 |
| Hamiltonian Variational Auto-Encoder | May 29, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Harnessing Out-Of-Distribution Examples via Augmenting Content and Style | Jul 7, 2022 | Data AugmentationDisentanglement | CodeCode Available | 0 | 5 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 | 5 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 | 5 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model | Oct 1, 2018 | Recommendation SystemsTopic Models | CodeCode Available | 0 | 5 |
| Gradient-based optimization for variational empirical Bayes multiple regression | Nov 21, 2024 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors | Jul 9, 2021 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video | May 16, 2025 | Data AugmentationSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference | Jun 6, 2015 | Small Data Image ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Graphite: Iterative Generative Modeling of Graphs | Mar 28, 2018 | Density EstimationGeneral Classification | CodeCode Available | 0 | 5 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 | 5 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 | 5 |
| 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 |
