Carl Henrik Ek

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2011–2025

Best venue rank

Where they publish

Papers

40 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling.	Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2025	ICLR	Linear combinations of latents in generative models: subspaces and beyond.	Erik Bodin, Alexandru I. Stere, Dragos D. Margineantu, Carl Henrik Ek, Henry Moss
2023	AISTATS	Mode-constrained Model-based Reinforcement Learning via Gaussian Processes.	Aidan Scannell, Carl Henrik Ek, Arthur Richards
2023	IC3K	A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders.	Sonja Schlenz, Simon Mner, Carl Henrik Ek, Fabian Duddeck
2022	AISTATS	Aligned Multi-Task Gaussian Process.	Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellstrm, Carl Henrik Ek, Neill D. F. Campbell
2021	ICML	Black-box density function estimation using recursive partitioning.	Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2021	ICRA	Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation.	Aidan Scannell, Carl Henrik Ek, Arthur Richards
2020	AISTATS	Monotonic Gaussian Process Flows.	Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2020	ICML	Modulating Surrogates for Bayesian Optimization.	Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2020	UAI	Compositional uncertainty in deep Gaussian processes.	Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2019	AISTATS	Gaussian Process Latent Variable Alignment Learning.	Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2019	ESANN	interpretable dynamics models for data-efficient reinforcement learning.	Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019	ICML	DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.	Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2018	ACCV	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
2016	ECCV	Inter-battery Topic Representation Learning.	Cheng Zhang, Hedvig Kjellstrm, Carl Henrik Ek
2016	ICRA	Probabilistic consolidation of grasp experience.	Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek
2016	IROS	Active exploration using Gaussian Random Fields and Gaussian Process Implicit Surfaces.	Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic
2015	IROS	Learning Predictive State Representations for planning.	Johannes A. Stork, Carl Henrik Ek, Danica Kragic
2015	ICRA	Learning Predictive State Representation for in-hand manipulation.	Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic
2015	ICVS	Learning Human Priors for Task-Constrained Grasping.	Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic
2014	ICPR	A Topological Framework for Training Latent Variable Models.	Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	ICPRAM	Initialization Framework for Latent Variable Models.	Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	ICPRAM	Gradual Improvement of Image Descriptor Quality.	Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	ICRA	Representations for cross-task, cross-object grasp transfer.	Martin Hjelm, Renaud Detry, Carl Henrik Ek, Danica Kragic
2013	ICPRAM	Qualitative Vocabulary based Descriptor.	Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2013	ICPRAM	The Path Kernel.	Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
2013	ICPRAM	The Path Kernel: A Novel Kernel for Sequential Data.	Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
2013	ICRA	Learning a dictionary of prototypical grasp-predicting parts from grasping experience.	Renaud Detry, Carl Henrik Ek, Marianna Madry, Danica Kragic
2013	ICRA	Sparse summarization of robotic grasping data.	Martin Hjelm, Carl Henrik Ek, Renaud Detry, Hedvig Kjellstrm, Danica Kragic
2013	ICRA	Language for learning complex human-object interactions.	Mitesh Patel, Carl Henrik Ek, Nikolaos Kyriazis, Antonis A. Argyros, Jaime Valls Mir, Danica Kragic
2013	ICRA	Functional object descriptors for human activity modeling.	Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellstrm
2013	IROS	Extracting essential local object characteristics for 3D object categorization.	Marianna Madry, Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson, Danica Kragic
2012	ICML	Manifold Relevance Determination.	Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence
2012	ICRA	Generalizing grasps across partly similar objects.	Renaud Detry, Carl Henrik Ek, Marianna Madry, Justus H. Piater, Danica Kragic
2012	IROS	Improving generalization for 3D object categorization with Global Structure Histograms.	Marianna Madry, Carl Henrik Ek, Renaud Detry, Kaiyu Hang, Danica Kragic
2011	IROS	Representing actions with Kernels.	Guoliang Luo, Niklas Bergstrm, Carl Henrik Ek, Danica Kragic
2011	IROS	Embodiment-specific representation of robot grasping using graphical models and latent-space discretization.	Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic
2011	ICRA	Multivariate discretization for Bayesian Network structure learning in robot grasping.	Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic
2011	ICVS	Scene Understanding through Autonomous Interactive Perception.	Niklas Bergstrm, Carl Henrik Ek, Mrten Bjrkman, Danica Kragic
2011	ISRR	The Importance of Structure.	Carl Henrik Ek, Danica Kragic