Carl Henrik Ek

According to our database1, Carl Henrik Ek authored at least 70 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration.
Robotics Auton. Syst., 2020

Bayesian nonparametric shared multi-sequence time series segmentation.
CoRR, 2020

Monotonic Gaussian Process Flows.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Compositional uncertainty in deep Gaussian processes.
CoRR, 2019

Modulated Bayesian Optimization using Latent Gaussian Process Models.
CoRR, 2019

Monotonic Gaussian Process Flow.
CoRR, 2019

Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning.
CoRR, 2019

Data Association with Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.
Proceedings of the 36th International Conference on Machine Learning, 2019

interpretable dynamics models for data-efficient reinforcement learning.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Gaussian Process Latent Variable Alignment Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Sequence Alignment with Dirichlet Process Mixtures.
CoRR, 2018

Multimodal Deep Gaussian Processes.
CoRR, 2018

Model Inference with Stein Density Ratio Estimation.
CoRR, 2018

Bayesian Alignments of Warped Multi-Output Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Perceptual Facial Expression Representation.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Nonparametric Inference for Auto-Encoding Variational Bayes.
CoRR, 2017

Neural Translation of Musical Style.
CoRR, 2017

Manifold Alignment Determination: finding correspondences across different data views.
CoRR, 2017

Latent Gaussian Process Regression.
CoRR, 2017

2016
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model.
CoRR, 2016

Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis.
CoRR, 2016

Diagnostic Prediction Using Discomfort Drawings with IBTM.
Proceedings of the 1st Machine Learning in Health Care, 2016

Active exploration using Gaussian Random Fields and Gaussian Process Implicit Surfaces.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Probabilistic consolidation of grasp experience.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Inter-battery Topic Representation Learning.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Task-Based Robot Grasp Planning Using Probabilistic Inference.
IEEE Trans. Robotics, 2015

On a Family of Decomposable Kernels on Sequences.
CoRR, 2015

Persistent Evidence of Local Image Properties in Generic ConvNets.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

A Top-Down Approach for a Synthetic Autobiographical Memory System.
Proceedings of the Biomimetic and Biohybrid Systems - 4th International Conference, 2015

Learning Predictive State Representations for planning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning Human Priors for Task-Constrained Grasping.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Learning Predictive State Representation for in-hand manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Learning object, grasping and manipulation activities using hierarchical HMMs.
Auton. Robots, 2014

Representations for cross-task, cross-object grasp transfer.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Gradual Improvement of Image Descriptor Quality.
Proceedings of the ICPRAM 2014, 2014

Initialization Framework for Latent Variable Models.
Proceedings of the ICPRAM 2014, 2014

A Topological Framework for Training Latent Variable Models.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Recognizing object affordances in terms of spatio-temporal object-object relationships.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Extracting Postural Synergies for Robotic Grasping.
IEEE Trans. Robotics, 2013

A Metric for Comparing the Anthropomorphic Motion Capability of Artificial Hands.
IEEE Trans. Robotics, 2013

Non-parametric hand pose estimation with object context.
Image Vis. Comput., 2013

Factorized Topic Models
Proceedings of the 1st International Conference on Learning Representations, 2013

Extracting essential local object characteristics for 3D object categorization.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Functional object descriptors for human activity modeling.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Language for learning complex human-object interactions.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Sparse summarization of robotic grasping data.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning a dictionary of prototypical grasp-predicting parts from grasping experience.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

The Path Kernel: A Novel Kernel for Sequential Data.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

The Path Kernel.
Proceedings of the ICPRAM 2013, 2013

Qualitative Vocabulary based Descriptor.
Proceedings of the ICPRAM 2013, 2013

Supervised Hierarchical Dirichlet Processes with Variational Inference.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Inferring hand pose: A comparative study of visual shape features.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Persistent Homology for Learning Densities with Bounded Support.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Improving generalization for 3D object categorization with Global Structure Histograms.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalizing grasps across partly similar objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Manifold Relevance Determination.
Proceedings of the 29th International Conference on Machine Learning, 2012

On-line learning of temporal state models for flexible objects.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Generating 3D Morphable Model Parameters for Facial Tracking - Factorising Identity and Expression.
Proceedings of the GRAPP & IVAPP 2012: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2012

2011
Facial Movement Based Recognition.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

The Importance of Structure.
Proceedings of the Robotics Research, 2011

Embodiment-specific representation of robot grasping using graphical models and latent-space discretization.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Representing actions with Kernels.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Scene Understanding through Autonomous Interactive Perception.
Proceedings of the Computer Vision Systems - 8th International Conference, 2011

Multivariate discretization for Bayesian Network structure learning in robot grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Factorized Orthogonal Latent Spaces.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Task modeling in imitation learning using latent variable models.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2008
Ambiguity Modeling in Latent Spaces.
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

2007
Gaussian Process Latent Variable Models for Human Pose Estimation.
Proceedings of the Machine Learning for Multimodal Interaction , 2007


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