Carl Henrik Ek

113 papers A* 19A 12B 4C 7Journal 53Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering mathematical concepts through a multi-agent system. CoRR Daattavya Aggarwal, Oisin Kim, Carl Henrik Ek, Challenger Mishra
2025	J	`jnl`	Bayesian Nonparametric Dynamical Clustering of Time Series. CoRR Adrián Pérez Herrero, Paulo Félix, Jesús Presedo, Carl Henrik Ek
2025	J	`jnl`	Beyond Quantification: Navigating Uncertainty in Professional AI Systems. CoRR Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill W. Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D. Lawrence
2025	J	`jnl`	Define latent spaces by example: optimisation over the outputs of generative models. CoRR Samuel Willis, Alexandru I. Stere, Dragos D. Margineantu, Henry T. Oldroyd, John A. Fozard, Carl Henrik Ek, Henry Moss, Erik Bodin
2025	A*	`conf`	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. ICLR Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2025	J	`jnl`	Learning from Preferences and Mixed Demonstrations in General Settings. CoRR Jason Ross Brown, Carl Henrik Ek, Robert D. Mullins
2025	A*	`conf`	Linear combinations of latents in generative models: subspaces and beyond. ICLR Erik Bodin, Alexandru I. Stere, Dragos D. Margineantu, Carl Henrik Ek, Henry Moss
2025	J	`jnl`	No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes. CoRR Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek
2025	J	`jnl`	VIKING: Deep variational inference with stochastic projections. CoRR Samuel G. Fadel, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg
2024	J	`jnl`	Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm. CoRR Carl Henrik Ek, Oisin Kim, Challenger Mishra
2024	J	`jnl`	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. CoRR Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2024	J	`jnl`	Linear combinations of latents in diffusion models: interpolation and beyond. CoRR Erik Bodin, Henry Moss, Carl Henrik Ek
2024	A*	`conf`	Reparameterization invariance in approximate Bayesian inference. NeurIPS Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
2024	J	`jnl`	Reparameterization invariance in approximate Bayesian inference. CoRR Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
2024	J	`jnl`	Representing engineering design changes in finite element models using directed point cloud autoencoders. Adv. Eng. Informatics Sonja Schlenz, Simon Mößner, Carl Henrik Ek, Fabian Duddeck
2024	J	`jnl`	Variance reduction of diffusion model's gradients with Taylor approximation-based control variate. CoRR Paul Jeha, Will Grathwohl, Michael Riis Andersen, Carl Henrik Ek, Jes Frellsen
2023	—	`conf`	A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders. KDIR Sonja Schlenz, Simon Mößner, Carl Henrik Ek, Fabian Duddeck
2023	J	`jnl`	Identifying latent distances with Finslerian geometry. Trans. Mach. Learn. Res. Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
2023	A	`conf`	Mode-constrained Model-based Reinforcement Learning via Gaussian Processes. AISTATS Aidan Scannell, Carl Henrik Ek, Arthur Richards
2023	J	`jnl`	SynBa: improved estimation of drug combination synergies with uncertainty quantification. Bioinform. Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo
2022	A	`conf`	Aligned Multi-Task Gaussian Process. AISTATS Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
2022	J	`jnl`	Identifying latent distances with Finslerian geometry. CoRR Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
2022	J	`jnl`	Optimisation of a global climate model ensemble for prediction of extreme heat days. CoRR Mala Virdee, Markus Kaiser, Emily Shuckburgh, Carl Henrik Ek, Ieva Kazlauskaite
2021	J	`jnl`	Aligned Multi-Task Gaussian Process. CoRR Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
2021	A*	`conf`	Black-box density function estimation using recursive partitioning. ICML Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2021	A*	`conf`	Deep Neural Networks as Point Estimates for Deep Gaussian Processes. NeurIPS Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande
2021	J	`jnl`	Deep Neural Networks as Point Estimates for Deep Gaussian Processes. CoRR Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande
2021	J	`jnl`	Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. J. Mach. Learn. Res. Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek
2021	A*	`conf`	Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation. ICRA Aidan Scannell, Carl Henrik Ek, Arthur Richards
2020	J	`jnl`	Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. Neurocomputing Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2020	J	`jnl`	Bayesian nonparametric shared multi-sequence time series segmentation. CoRR Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek
2020	J	`jnl`	Black-box density function estimation using recursive partitioning. CoRR Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek
2020	A	`conf`	Compositional uncertainty in deep Gaussian processes. UAI Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2020	A*	`conf`	Modulating Surrogates for Bayesian Optimization. ICML Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2020	A	`conf`	Monotonic Gaussian Process Flows. AISTATS Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2020	J	`jnl`	Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration. Robotics Auton. Syst. Gabriela Zarzar Gandler, Carl Henrik Ek, Mårten Björkman, Rustam Stolkin, Yasemin Bekiroglu
2019	J	`jnl`	Compositional uncertainty in deep Gaussian processes. CoRR Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2019	A*	`conf`	DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. ICML Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2019	—	`conf`	Data Association with Gaussian Processes. ECML/PKDD (2) Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019	A	`conf`	Gaussian Process Latent Variable Alignment Learning. AISTATS Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2019	J	`jnl`	Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. CoRR Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019	J	`jnl`	Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning. CoRR Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic
2019	J	`jnl`	Modulated Bayesian Optimization using Latent Gaussian Process Models. CoRR Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
2019	J	`jnl`	Monotonic Gaussian Process Flow. CoRR Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2019	B	`conf`	interpretable dynamics models for data-efficient reinforcement learning. ESANN Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018	J	`jnl`	Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces. CoRR Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic
2018	A*	`conf`	Bayesian Alignments of Warped Multi-Output Gaussian Processes. NeurIPS Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018	J	`jnl`	DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. CoRR Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2018	—	`conf`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. ACCV (4) Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. CoRR Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Gaussian Process Latent Variable Alignment Learning. CoRR Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Model Inference with Stein Density Ratio Estimation. CoRR Song Liu, Wittawat Jitkrittum, Carl Henrik Ek
2018	J	`jnl`	Multimodal Deep Gaussian Processes. CoRR Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2018	B	`conf`	Perceptual Facial Expression Representation. FG Olga Mikheeva, Carl Henrik Ek, Hedvig Kjellström
2018	J	`jnl`	Sequence Alignment with Dirichlet Process Mixtures. CoRR Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell
2017	J	`jnl`	Bayesian Alignments of Warped Multi-Output Gaussian Processes. CoRR Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2017	J	`jnl`	Latent Gaussian Process Regression. CoRR Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2017	J	`jnl`	Manifold Alignment Determination: finding correspondences across different data views. CoRR Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek
2017	J	`jnl`	Neural Translation of Musical Style. CoRR Iman Malik, Carl Henrik Ek
2017	J	`jnl`	Nonparametric Inference for Auto-Encoding Variational Bayes. CoRR Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell
2016	A	`conf`	Active exploration using Gaussian Random Fields and Gaussian Process Implicit Surfaces. IROS Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic
2016	—	`conf`	Diagnostic Prediction Using Discomfort Drawings with IBTM. MLHC Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo C. Bertilson
2016	J	`jnl`	Diagnostic Prediction Using Discomfort Drawings with IBTM. CoRR Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo C. Bertilson
2016	J	`jnl`	Inter-Battery Topic Representation Learning. CoRR Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek
2016	—	`conf`	Inter-battery Topic Representation Learning. ECCV (8) Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek
2016	J	`jnl`	Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis. CoRR Andreas C. Damianou, Neil D. Lawrence, Carl Henrik Ek
2016	A*	`conf`	Probabilistic consolidation of grasp experience. ICRA Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek
2016	J	`jnl`	Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model. CoRR Fariba Yousefi, Zhenwen Dai, Carl Henrik Ek, Neil D. Lawrence
2015	—	`conf`	A Top-Down Approach for a Synthetic Autobiographical Memory System. Living Machines Andreas C. Damianou, Carl Henrik Ek, Luke Boorman, Neil D. Lawrence, Tony J. Prescott
2015	C	`conf`	Learning Human Priors for Task-Constrained Grasping. ICVS Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic
2015	A*	`conf`	Learning Predictive State Representation for in-hand manipulation. ICRA Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic
2015	A	`conf`	Learning Predictive State Representations for planning. IROS Johannes A. Stork, Carl Henrik Ek, Danica Kragic
2015	J	`jnl`	On a Family of Decomposable Kernels on Sequences. CoRR Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek
2015	—	`conf`	Persistent Evidence of Local Image Properties in Generic ConvNets. SCIA Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
2015	J	`jnl`	Task-Based Robot Grasp Planning Using Probabilistic Inference. IEEE Trans. Robotics Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic
2014	B	`conf`	A Topological Framework for Training Latent Variable Models. ICPR Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	C	`conf`	Gradual Improvement of Image Descriptor Quality. ICPRAM Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	C	`conf`	Initialization Framework for Latent Variable Models. ICPRAM Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2014	J	`jnl`	Learning object, grasping and manipulation activities using hierarchical HMMs. Auton. Robots Mitesh Patel, Jaime Valls Miró, Danica Kragic, Carl Henrik Ek, Gamini Dissanayake
2014	J	`jnl`	Persistent Evidence of Local Image Properties in Generic ConvNets. CoRR Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
2014	—	`conf`	Recognizing object affordances in terms of spatio-temporal object-object relationships. Humanoids Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström
2014	A*	`conf`	Representations for cross-task, cross-object grasp transfer. ICRA Martin Hjelm, Renaud Detry, Carl Henrik Ek, Danica Kragic
2013	J	`jnl`	A Metric for Comparing the Anthropomorphic Motion Capability of Artificial Hands. IEEE Trans. Robotics Thomas Feix, Javier Romero, Carl Henrik Ek, Heinz-Bodo Schmiedmayer, Danica Kragic
2013	J	`jnl`	Extracting Postural Synergies for Robotic Grasping. IEEE Trans. Robotics Javier Romero, Thomas Feix, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic
2013	A	`conf`	Extracting essential local object characteristics for 3D object categorization. IROS Marianna Madry, Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson, Danica Kragic
2013	—	`conf`	Factorized Topic Models ICLR (Workshop Poster) Cheng Zhang, Carl Henrik Ek, Hedvig Kjellström
2013	A*	`conf`	Functional object descriptors for human activity modeling. ICRA Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström
2013	B	`conf`	Inferring hand pose: A comparative study of visual shape features. FG Akshaya Thippur, Carl Henrik Ek, Hedvig Kjellström
2013	A*	`conf`	Language for learning complex human-object interactions. ICRA Mitesh Patel, Carl Henrik Ek, Nikolaos Kyriazis, Antonis A. Argyros, Jaime Valls Miró, Danica Kragic
2013	A*	`conf`	Learning a dictionary of prototypical grasp-predicting parts from grasping experience. ICRA Renaud Detry, Carl Henrik Ek, Marianna Madry, Danica Kragic
2013	J	`jnl`	Non-parametric hand pose estimation with object context. Image Vis. Comput. Javier Romero, Hedvig Kjellström, Carl Henrik Ek, Danica Kragic
2013	C	`conf`	Qualitative Vocabulary based Descriptor. ICPRAM Heydar Maboudi Afkham, Carl Henrik Ek, Stefan Carlsson
2013	A*	`conf`	Sparse summarization of robotic grasping data. ICRA Martin Hjelm, Carl Henrik Ek, Renaud Detry, Hedvig Kjellström, Danica Kragic
2013	—	`conf`	Supervised Hierarchical Dirichlet Processes with Variational Inference. ICCV Workshops Cheng Zhang, Carl Henrik Ek, Xavi Gratal, Florian T. Pokorny, Hedvig Kjellström
2013	C	`conf`	The Path Kernel. ICPRAM Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
2013	—	`conf`	The Path Kernel: A Novel Kernel for Sequential Data. ICPRAM (Selected Papers) Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
2012	A*	`conf`	Generalizing grasps across partly similar objects. ICRA Renaud Detry, Carl Henrik Ek, Marianna Madry, Justus H. Piater, Danica Kragic
2012	—	`conf`	Generating 3D Morphable Model Parameters for Facial Tracking - Factorising Identity and Expression. GRAPP/IVAPP Alexander Davies, Carl Henrik Ek, Colin J. Dalton, Neill W. Campbell
2012	A	`conf`	Improving generalization for 3D object categorization with Global Structure Histograms. IROS Marianna Madry, Carl Henrik Ek, Renaud Detry, Kaiyu Hang, Danica Kragic
2012	J	`jnl`	Manifold Relevance Determination CoRR Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence
2012	A*	`conf`	Manifold Relevance Determination. ICML Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence
2012	—	`conf`	On-line learning of temporal state models for flexible objects. Humanoids Niklas Bergström, Carl Henrik Ek, Danica Kragic, Yuji Yamakawa, Taku Senoo, Masatoshi Ishikawa
2012	—	`conf`	Persistent Homology for Learning Densities with Bounded Support. NIPS Florian T. Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic
2011	A	`conf`	Embodiment-specific representation of robot grasping using graphical models and latent-space discretization. IROS Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic
2011	—	`conf`	Facial Movement Based Recognition. MIRAGE Alexander Davies, Carl Henrik Ek, Colin J. Dalton, Neill W. Campbell
2011	A*	`conf`	Multivariate discretization for Bayesian Network structure learning in robot grasping. ICRA Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragic
2011	A	`conf`	Representing actions with Kernels. IROS Guoliang Luo, Niklas Bergström, Carl Henrik Ek, Danica Kragic
2011	C	`conf`	Scene Understanding through Autonomous Interactive Perception. ICVS Niklas Bergström, Carl Henrik Ek, Mårten Björkman, Danica Kragic
2011	C	`conf`	The Importance of Structure. ISRR Carl Henrik Ek, Danica Kragic
2010	A	`conf`	Factorized Orthogonal Latent Spaces. AISTATS Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell
2010	—	`conf`	Task modeling in imitation learning using latent variable models. Humanoids Carl Henrik Ek, Dan Song, Kai Huebner, Danica Kragic
2008	—	`conf`	Ambiguity Modeling in Latent Spaces. MLMI Carl Henrik Ek, Jonathan Rihan, Philip H. S. Torr, Grégory Rogez, Neil D. Lawrence
2007	—	`conf`	Gaussian Process Latent Variable Models for Human Pose Estimation. MLMI Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrence