| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 |
| Coherence-Aware Neural Topic Modeling | Sep 7, 2018 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Variational Inference on the Final-Layer Output of Neural Networks | Feb 5, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Direct loss minimization algorithms for sparse Gaussian processes | Apr 7, 2020 | Computational EfficiencyGaussian Processes | CodeCode Available | 0 |
| Automatic structured variational inference | Feb 3, 2020 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models | Mar 4, 2025 | Computational EfficiencyTopic Models | CodeCode Available | 0 |
| Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors | Jan 5, 2024 | DenoisingVariational Inference | CodeCode Available | 0 |
| Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling | May 16, 2023 | DenoisingGeophysics | CodeCode Available | 0 |
| Diffusion models for probabilistic programming | Nov 1, 2023 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 |
| Differentially private partitioned variational inference | Sep 23, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings | Jun 12, 2019 | Knowledge Graph EmbeddingsKnowledge Graphs | CodeCode Available | 0 |
| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
| 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 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 |
| Neural Variational Inference for Text Processing | Nov 19, 2015 | Answer SelectionQuestion Answering | CodeCode Available | 0 |
| Automatic Feature Extraction for Heartbeat Anomaly Detection | Feb 24, 2021 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 |
| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization | Dec 8, 2020 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 |
| Variational Inference with Tail-adaptive f-Divergence | Oct 29, 2018 | Deep Reinforcement LearningReinforcement Learning | CodeCode Available | 0 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 |
| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
