| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 |
| Sparse within Sparse Gaussian Processes using Neighbor Information | Nov 10, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization | Nov 9, 2020 | Variational Inference | CodeCode Available | 0 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction | Nov 6, 2020 | PredictionVariational Inference | —Unverified | 0 |
| Quantized Variational Inference | Nov 4, 2020 | Variational Inference | CodeCode Available | 0 |
| Amortized Variational Deep Q Network | Nov 3, 2020 | Deep Reinforcement LearningEfficient Exploration | CodeCode Available | 0 |
| Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix | Nov 3, 2020 | Data AugmentationSuper-Resolution | —Unverified | 0 |
| On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes | Nov 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference | Oct 31, 2020 | Graph EmbeddingLink Prediction | CodeCode Available | 0 |
