Aligned Multi-Task Gaussian Process | 0 | 0.34 | 2022 |
Black-Box Density Function Estimation Using Recursive Partitioning | 0 | 0.34 | 2021 |
Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation | 0 | 0.34 | 2021 |
Deep Neural Networks as Point Estimates for Deep Gaussian Processes. | 0 | 0.34 | 2021 |
Monotonic Gaussian Process Flows. | 0 | 0.34 | 2020 |
Modulating Surrogates for Bayesian Optimization | 0 | 0.34 | 2020 |
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning | 1 | 0.39 | 2020 |
Compositional uncertainty in deep Gaussian processes. | 0 | 0.34 | 2020 |
Modulated Bayesian Optimization using Latent Gaussian Process Models. | 0 | 0.34 | 2019 |
Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning. | 0 | 0.34 | 2019 |
interpretable dynamics models for data-efficient reinforcement learning. | 0 | 0.34 | 2019 |
Perceptual Facial Expression Representation | 0 | 0.34 | 2018 |
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. | 0 | 0.34 | 2018 |
Sequence Alignment with Dirichlet Process Mixtures. | 0 | 0.34 | 2018 |
Model Inference with Stein Density Ratio Estimation. | 0 | 0.34 | 2018 |
Multimodal Deep Gaussian Processes. | 0 | 0.34 | 2018 |
Bayesian Alignments of Warped Multi-Output Gaussian Processes | 0 | 0.34 | 2018 |
Nonparametric Inference for Auto-Encoding Variational Bayes. | 1 | 0.35 | 2017 |
Latent Gaussian Process Regression. | 2 | 0.39 | 2017 |
Neural Translation of Musical Style. | 3 | 0.45 | 2017 |
Manifold Alignment Determination: finding correspondences across different data views. | 0 | 0.34 | 2017 |
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model. | 0 | 0.34 | 2016 |
Probabilistic consolidation of grasp experience | 2 | 0.45 | 2016 |
Diagnostic Prediction Using Discomfort Drawings with IBTM. | 1 | 0.64 | 2016 |
Multi-View Learning As A Nonparametric Nonlinear Inter-Battery Factor Analysis | 1 | 0.63 | 2016 |
Task-Based Robot Grasp Planning Using Probabilistic Inference | 11 | 0.56 | 2015 |
On a Family of Decomposable Kernels on Sequences. | 0 | 0.34 | 2015 |
Learning Predictive State Representation for in-hand manipulation | 3 | 0.36 | 2015 |
A Top-Down Approach for a Synthetic Autobiographical Memory System | 3 | 0.44 | 2015 |
Learning Human Priors For Task-Constrained Grasping | 2 | 0.40 | 2015 |
Initialization Framework for Latent Variable Models. | 0 | 0.34 | 2014 |
Representations for cross-task, cross-object grasp transfer | 3 | 0.39 | 2014 |
Persistent Evidence of Local Image Properties in Generic ConvNets. | 3 | 0.38 | 2014 |
A Topological Framework for Training Latent Variable Models | 0 | 0.34 | 2014 |
Gradual Improvement of Image Descriptor Quality. | 0 | 0.34 | 2014 |
Recognizing object affordances in terms of spatio-temporal object-object relationships | 7 | 0.51 | 2014 |
Learning object, grasping and manipulation activities using hierarchical HMMs | 6 | 0.47 | 2014 |
Qualitative Vocabulary based Descriptor. | 2 | 0.37 | 2013 |
Non-parametric hand pose estimation with object context | 11 | 0.57 | 2013 |
Functional Object Descriptors For Human Activity Modeling | 23 | 0.68 | 2013 |
The Path Kernel. | 3 | 0.39 | 2013 |
A Metric for Comparing the Anthropomorphic Motion Capability of Artificial Hands | 8 | 0.56 | 2013 |
Sparse Summarization Of Robotic Grasping Data | 2 | 0.39 | 2013 |
Supervised Hierarchical Dirichlet Processes with Variational Inference | 8 | 0.44 | 2013 |
Learning a dictionary of prototypical grasp-predicting parts from grasping experience | 12 | 0.79 | 2013 |
The Path Kernel: A Novel Kernel for Sequential Data. | 0 | 0.34 | 2013 |
Extracting Essential Local Object Characteristics For 3d Object Categorization | 2 | 0.38 | 2013 |
Factorized Topic Models | 2 | 0.39 | 2013 |
Inferring hand pose: A comparative study of visual shape features | 12 | 0.65 | 2013 |
Extracting Postural Synergies for Robotic Grasping | 5 | 0.45 | 2013 |