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| Streamlining Variational Inference for Constraint Satisfaction Problems | Nov 24, 2018 | SurveyVariational Inference | CodeCode Available | 0 |
| 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 |
| Continual Multi-task Gaussian Processes | Oct 31, 2019 | Bayesian InferenceContinual Learning | CodeCode Available | 0 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| Structured Cooperative Learning with Graphical Model Priors | Jun 16, 2023 | modelStochastic Block Model | CodeCode Available | 0 |
| VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling | Oct 7, 2020 | Variational InferenceWord Embeddings | CodeCode Available | 0 |
| Reconstructing continuous distributions of 3D protein structure from cryo-EM images | Sep 11, 2019 | 3D Volumetric ReconstructionClustering | CodeCode Available | 0 |
| Learning Discrete State Abstractions With Deep Variational Inference | Mar 9, 2020 | Decision MakingMulti-Goal Reinforcement Learning | CodeCode Available | 0 |
| Weight Pruning and Uncertainty in Radio Galaxy Classification | Nov 23, 2021 | ClassificationData Augmentation | CodeCode Available | 0 |
