| Use of Variational Inference in Music Emotion Recognition | Jun 27, 2021 | Emotion RecognitionMusic Emotion Recognition | —Unverified | 0 |
| Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors | Jun 26, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Predictive Control Using Learned State Space Models via Rolling Horizon Evolution | Jun 25, 2021 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models | Jun 23, 2021 | Density EstimationVariational Inference | —Unverified | 0 |
| A Practical & Unified Notation for Information-Theoretic Quantities in ML | Jun 22, 2021 | Active LearningExperimental Design | —Unverified | 0 |
| Local convexity of the TAP free energy and AMP convergence for Z2-synchronization | Jun 21, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Nested Variational Inference | Jun 21, 2021 | Variational Inference | —Unverified | 0 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise | Jun 19, 2021 | DenoisingVariational Inference | —Unverified | 0 |
| Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion | Jun 18, 2021 | SegmentationVariational Inference | —Unverified | 0 |
| Variational Causal Networks: Approximate Bayesian Inference over Causal Structures | Jun 14, 2021 | Bayesian InferenceCausal Inference | CodeCode Available | 1 |
| Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data | Jun 13, 2021 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| Posterior Temperature Optimization in Variational Inference for Inverse Problems | Jun 11, 2021 | Bayesian OptimizationCT Reconstruction | —Unverified | 0 |
| Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation | Jun 11, 2021 | Graph GenerationVariational Inference | CodeCode Available | 1 |
| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 |
| Learning Nonparametric Volterra Kernels with Gaussian Processes | Jun 10, 2021 | Gaussian ProcessesNumerical Integration | CodeCode Available | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Nonlinear Hawkes Processes in Time-Varying System | Jun 9, 2021 | Bayesian InferencePoint Processes | —Unverified | 0 |
| Loss function based second-order Jensen inequality and its application to particle variational inference | Jun 9, 2021 | DiversityEnsemble Learning | —Unverified | 0 |
| Probabilistic task modelling for meta-learning | Jun 9, 2021 | Meta-Learningparameter estimation | CodeCode Available | 0 |
| Mixture weights optimisation for Alpha-Divergence Variational Inference | Jun 9, 2021 | Variational Inference | —Unverified | 0 |
| Stein ICP for Uncertainty Estimation in Point Cloud Matching | Jun 7, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Variational Leakage: The Role of Information Complexity in Privacy Leakage | Jun 5, 2021 | AttributeFace Recognition | CodeCode Available | 0 |
