Carl Henrik Ek

According to our database, Carl Henrik Ek authored at least 87 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling.

Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok

CoRR, 2024

Variance reduction of diffusion model's gradients with Taylor approximation-based control variate.

Paul Jeha, Will Grathwohl, Michael Riis Andersen, Carl Henrik Ek, Jes Frellsen

CoRR, 2024

Linear combinations of latents in diffusion models: interpolation and beyond.

Erik Bodin, Henry Moss, Carl Henrik Ek

CoRR, 2024

Reparameterization invariance in approximate Bayesian inference.

Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

CoRR, 2024

Representing engineering design changes in finite element models using directed point cloud autoencoders.

Sonja Schlenz, Simon Mößner, Carl Henrik Ek, Fabian Duddeck

Adv. Eng. Informatics, 2024

2023

Identifying latent distances with Finslerian geometry.

Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg

Trans. Mach. Learn. Res., 2023

SynBa: improved estimation of drug combination synergies with uncertainty quantification.

Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo

Bioinform., 2023

A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders.

Sonja Schlenz, Simon Mößner, Carl Henrik Ek, Fabian Duddeck

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes.

Aidan Scannell, Carl Henrik Ek, Arthur Richards

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Optimisation of a global climate model ensemble for prediction of extreme heat days.

Mala Virdee, Markus Kaiser, Emily Shuckburgh, Carl Henrik Ek, Ieva Kazlauskaite

CoRR, 2022

Aligned Multi-Task Gaussian Process.

Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek

J. Mach. Learn. Res., 2021

Deep Neural Networks as Point Estimates for Deep Gaussian Processes.

Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation.

Aidan Scannell, Carl Henrik Ek, Arthur Richards

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Black-box density function estimation using recursive partitioning.

Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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

Gabriela Zarzar Gandler, Carl Henrik Ek, Mårten Björkman, Rustam Stolkin, Yasemin Bekiroglu

Robotics Auton. Syst., 2020

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Neurocomputing, 2020

Black-box density function estimation using recursive partitioning.

Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2020

Bayesian nonparametric shared multi-sequence time series segmentation.

Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek

CoRR, 2020

Compositional uncertainty in deep Gaussian processes.

Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Modulating Surrogates for Bayesian Optimization.

Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek

Proceedings of the 37th International Conference on Machine Learning, 2020

Monotonic Gaussian Process Flows.

Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Modulated Bayesian Optimization using Latent Gaussian Process Models.

Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2019

Monotonic Gaussian Process Flow.

Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell

CoRR, 2019

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

Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic

CoRR, 2019

Data Association with Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.

Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the 36th International Conference on Machine Learning, 2019

interpretable dynamics models for data-efficient reinforcement learning.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Gaussian Process Latent Variable Alignment Learning.

Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Sequence Alignment with Dirichlet Process Mixtures.

Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell

CoRR, 2018

Multimodal Deep Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

CoRR, 2018

Model Inference with Stein Density Ratio Estimation.

Song Liu, Wittawat Jitkrittum, Carl Henrik Ek

CoRR, 2018

Bayesian Alignments of Warped Multi-Output Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Perceptual Facial Expression Representation.

Olga Mikheeva, Carl Henrik Ek, Hedvig Kjellström

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.

Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Nonparametric Inference for Auto-Encoding Variational Bayes.

Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell

CoRR, 2017

Neural Translation of Musical Style.

Iman Malik, Carl Henrik Ek

CoRR, 2017

Manifold Alignment Determination: finding correspondences across different data views.

Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek

CoRR, 2017

Latent Gaussian Process Regression.

Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek

CoRR, 2017

2016

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

Fariba Yousefi, Zhenwen Dai, Carl Henrik Ek, Neil D. Lawrence

CoRR, 2016

Diagnostic Prediction Using Discomfort Drawings with IBTM.

Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo C. Bertilson

Proceedings of the 1st Machine Learning in Health Care, 2016

Active exploration using Gaussian Random Fields and Gaussian Process Implicit Surfaces.

Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Probabilistic consolidation of grasp experience.

Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Inter-battery Topic Representation Learning.

Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Task-Based Robot Grasp Planning Using Probabilistic Inference.

Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic

IEEE Trans. Robotics, 2015

On a Family of Decomposable Kernels on Sequences.

Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek

CoRR, 2015

Persistent Evidence of Local Image Properties in Generic ConvNets.

Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

A Top-Down Approach for a Synthetic Autobiographical Memory System.

Andreas C. Damianou, Carl Henrik Ek, Luke Boorman, Neil D. Lawrence, Tony J. Prescott

Proceedings of the Biomimetic and Biohybrid Systems - 4th International Conference, 2015

Learning Predictive State Representations for planning.

Johannes A. Stork, Carl Henrik Ek, Danica Kragic

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning Human Priors for Task-Constrained Grasping.

Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic

Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Learning Predictive State Representation for in-hand manipulation.

Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Learning object, grasping and manipulation activities using hierarchical HMMs.

Mitesh Patel, Jaime Valls Miró, Danica Kragic, Carl Henrik Ek, Gamini Dissanayake

Auton. Robots, 2014

Representations for cross-task, cross-object grasp transfer.

Martin Hjelm, Renaud Detry, Carl Henrik Ek, Danica Kragic

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Gradual Improvement of Image Descriptor Quality.

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

Proceedings of the ICPRAM 2014, 2014

Initialization Framework for Latent Variable Models.

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

Proceedings of the ICPRAM 2014, 2014

A Topological Framework for Training Latent Variable Models.

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Recognizing object affordances in terms of spatio-temporal object-object relationships.

Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Extracting Postural Synergies for Robotic Grasping.

Javier Romero, Thomas Feix, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic

IEEE Trans. Robotics, 2013

A Metric for Comparing the Anthropomorphic Motion Capability of Artificial Hands.

Thomas Feix, Javier Romero, Carl Henrik Ek, Heinz-Bodo Schmiedmayer, Danica Kragic

IEEE Trans. Robotics, 2013

Non-parametric hand pose estimation with object context.

Javier Romero, Hedvig Kjellström, Carl Henrik Ek, Danica Kragic

Image Vis. Comput., 2013

Factorized Topic Models

Cheng Zhang, Carl Henrik Ek, Hedvig Kjellström

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

Extracting essential local object characteristics for 3D object categorization.

Marianna Madry, Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson, Danica Kragic

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Functional object descriptors for human activity modeling.

Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Language for learning complex human-object interactions.

Mitesh Patel, Carl Henrik Ek, Nikolaos Kyriazis, Antonis A. Argyros, Jaime Valls Miró, Danica Kragic

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Sparse summarization of robotic grasping data.

Martin Hjelm, Carl Henrik Ek, Renaud Detry, Hedvig Kjellström, Danica Kragic

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning a dictionary of prototypical grasp-predicting parts from grasping experience.

Renaud Detry, Carl Henrik Ek, Marianna Madry, Danica Kragic

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

The Path Kernel: A Novel Kernel for Sequential Data.

Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

The Path Kernel.

Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek

Proceedings of the ICPRAM 2013, 2013

Qualitative Vocabulary based Descriptor.

Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson

Proceedings of the ICPRAM 2013, 2013

Supervised Hierarchical Dirichlet Processes with Variational Inference.

Cheng Zhang, Carl Henrik Ek, Xavi Gratal, Florian T. Pokorny, Hedvig Kjellström

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Inferring hand pose: A comparative study of visual shape features.

Akshaya Thippur, Carl Henrik Ek, Hedvig Kjellström

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.

Florian T. Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic

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.

Marianna Madry, Carl Henrik Ek, Renaud Detry, Kaiyu Hang, Danica Kragic

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalizing grasps across partly similar objects.

Renaud Detry, Carl Henrik Ek, Marianna Madry, Justus H. Piater, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Manifold Relevance Determination.

Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence

Proceedings of the 29th International Conference on Machine Learning, 2012

On-line learning of temporal state models for flexible objects.

Niklas Bergström, Carl Henrik Ek, Danica Kragic, Yuji Yamakawa, Taku Senoo, Masatoshi Ishikawa

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.

Alexander Davies, Carl Henrik Ek, Colin J. Dalton, Neill W. Campbell

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.

Alexander Davies, Carl Henrik Ek, Colin J. Dalton, Neill W. Campbell

Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

The Importance of Structure.

Carl Henrik Ek, Danica Kragic

Proceedings of the Robotics Research, 2011

Embodiment-specific representation of robot grasping using graphical models and latent-space discretization.

Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Representing actions with Kernels.

Guoliang Luo, Niklas Bergström, Carl Henrik Ek, Danica Kragic

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Scene Understanding through Autonomous Interactive Perception.

Niklas Bergström, Carl Henrik Ek, Mårten Björkman, Danica Kragic

Proceedings of the Computer Vision Systems - 8th International Conference, 2011

Multivariate discretization for Bayesian Network structure learning in robot grasping.

Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Factorized Orthogonal Latent Spaces.

Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Task modeling in imitation learning using latent variable models.

Carl Henrik Ek, Dan Song, Kai Huebner, Danica Kragic

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2008

Ambiguity Modeling in Latent Spaces.

Carl Henrik Ek, Jonathan Rihan, Philip H. S. Torr, Grégory Rogez, Neil D. Lawrence

Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

2007

Gaussian Process Latent Variable Models for Human Pose Estimation.

Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrence

Proceedings of the Machine Learning for Multimodal Interaction , 2007