Publications

(2024). Gaussian Processes on Cellular Complexes. Proceedings of the International Conference on Machine Learning (ICML).

Cite PDF

(2024). Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems. Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI).

Cite URL

(2023). Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-finger Hands. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Cite PDF

(2023). Neural Field Movement Primitives for Joint Modelling of Scenes and Motions. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Cite PDF

(2023). Understanding Deep Generative Models with Generalized Empirical Likelihoods. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cite PDF

(2023). Deep Grasp Adaptation through Domain Transfer. IEEE International Conference on Robotics and Automation (ICRA).

Cite

(2023). Optimal Transport for Offline Imitation Learning. Proceedings of the International Conference on Learning Representations (ICLR).

Cite PDF Reviews Code

(2023). Actually Sparse Variational Gaussian Processes. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

Cite PDF Code

(2022). Actually Sparse Variational Gaussian Processes. NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems.

Cite

(2022). Parallel MCMC Without Embarrassing Failures. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

Cite

(2022). Comparing the carbon costs and benefits of low-resource solar nowcasting. NeurIPS Workshop on Tackling Climate Change with Machine Learning.

Cite

(2021). Riemannian Convex Potential Flows. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite Code

(2021). Discretization Drift in Two-Player Games. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite Code

(2021). Matérn Gaussian Processes on Graphs. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Code

(2021). Learning Contact Dynamics using Physically Structured Neural Networks. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Code

(2021). Aligning Time Series on Incomparable Spaces. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Code

(2021). Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis. Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ‘21).

PDF Cite DOI

(2021). Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. KGSWC'21 Workshop on Joint Use of Probabilistic Graphical Models and Ontologies.

Cite

(2020). Probabilistic Active Meta-Learning. Advances in Neural Information Processing Systems (NeurIPS).

PDF Cite Code

(2020). Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

PDF Cite

(2020). Stochastic Differential Equations with Variational Wishart Diffusions. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite Code

(2020). Healing Products of Gaussian Process Experts. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite Code

(2020). Variational Integrator Networks for Physically Structured Embeddings. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Code

(2020). Asynchronous Gibbs Sampling. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite

(2019). Variational Integrator Networks. Bayesian Deep Learning Workshop at NeurIPS.

Cite

(2018). Maximizing Acquisition Functions for Bayesian Optimization. Advances in Neural Information Processing Systems (NeurIPS).

PDF Cite Code

(2018). Meta Reinforcement Learning with Latent Variable Gaussian Processes. Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI).

PDF Cite Code

(2018). Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Code

(2018). Gaussian Process Conditional Density Estimation. Advances in Neural Information Processing Systems (NeurIPS).

PDF Cite

(2017). Probabilistic Inference of Twitter Users' Age based on What They Follow. Proceedings of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD).

PDF Cite Code

(2017). Ordinal Class Imbalance with Ranking. Proceedings of Iberian Conference on Pattern Recognition and Image Analysis.

Cite

(2017). Neural Embeddings of Graphs in Hyperbolic Space. International Workshop on Mining and Learning with Graphs.

PDF Cite Code

(2017). Deeply Non-Stationary Gaussian Processes. NIPS Workshop on Bayesian Deep Learning.

PDF Cite

(2017). Customer Life Time Value Prediction Using Embeddings. Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD).

PDF Cite

(2016). Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem. Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings 11.

Cite

(2016). Manifold Gaussian Processes for Regression. Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN).

PDF Cite

(2016). Knowledge Transfer in Automatic Optimisation of Reconfigurable Designs. Proceedings of the IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM).

PDF Cite

(2016). Fisher score-based feature selection for ordinal classification: A social survey on subjective well-being. Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings 11.

Cite

(2016). Classification of melanoma presence and thickness based on computational image analysis. Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings 11.

Cite

(2015). Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin. Proceedings of the IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS).

PDF Cite

(2015). Learning Inverse Dynamics Models with Contacts. Proceedings of the IEEE International Conference on Robotics and Automation.

PDF Cite

(2015). Learning Deep Dynamical Models From Image Pixels. Proceedings of the IFAC Symposium on System Identification (SYSID).

PDF Cite

(2015). Distributed Gaussian Processes. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite

(2015). An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis. Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I 13.

Cite

(2014). Multi-Task Policy Search for Robotics. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

PDF Cite

(2014). Multi-Modal Filtering for Non-linear Estimation. International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

PDF Cite

(2014). Model-based Inverse Reinforcement Learning. Workshop on Autonomously Learning Robots at NIPS 2014.

Cite

(2014). Bayesian Gait Optimization for Bipedal Locomotion. Proceedings of the International Conference on Learning and Intelligent Optimization (LION).

PDF Cite

(2014). Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes. Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite

(2014). An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

PDF Cite

(2013). Model-based Imitation Learning by Probabilistic Trajectory Matching. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

PDF Cite

(2013). Kernelizing the proportional odds model through the empirical kernel mapping. Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I 12.

Cite

(2013). Feedback Error Learning for Rhythmic Motor Primitives. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

PDF Cite

(2013). Borderline kernel based over-sampling. Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings 8.

Cite

(2013). An n-spheres based synthetic data generator for supervised classification. Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I 12.

Cite

(2012). Expectation Propagation in Gaussian Process Dynamical Systems. Advances in Neural Information Processing Systems (NIPS).

PDF Cite Code

(2012). Toward Fast Policy Search for Learning Legged Locomotion. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

PDF Cite

(2012). Learning Deep Belief Networks from Non-Stationary Streams. Proceedings of International Conference on Artificial Neural Networks (ICANN).

PDF Cite

(2012). An experimental study of different ordinal regression methods and measures. Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II 7.

Cite

(2011). PILCO: A Model-Based and Data-Efficient Approach to Policy Search. Proceedings of the International Conference on Machine Learning (ICML).

PDF Cite Code

(2011). Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning. Proceedings of the International Conference on Robotics: Science and Systems (RSS).

PDF Cite

(2010). State-Space Inference and Learning with Gaussian Processes. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite

(2009). Efficient Reinforcement Learning for Motor Control. Proceedings of the 10th International Workshop on Systems and Control.

PDF Cite

(2009). Bayesian Inference for Efficient Learning in Control. Multidisciplinary Symposium on Reinforcement Learning (MSRL).

PDF Cite

(2009). Analytic Moment-based Gaussian Process Filtering. Proceedings of the 26th International Conference on Machine Learning (ICML).

PDF Cite

(2008). Model-Based Reinforcement Learning with Continuous States and Actions. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN).

PDF Cite

(2008). Approximate Dynamic Programming with Gaussian Processes. Proceedings of the 2008 American Control Conference (ACC).

PDF Cite

(2006). Finite-Horizon Optimal State Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle. Proceedings of the 6th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

PDF Cite DOI