Miguel Lázaro-Gredilla

Author

Also Known As

Kumar, Nishanth, Lazaro-Gredilla, Miguel, Lázaro-Gredilla, Miguel, M Lazaro-Gredilla, M Lázaro-Gredilla, M. Lazaro-Gredilla, M. Lázaro-Gredilla, Miguel Lazaro-Gredilla, Miguel Lázaro-Gredilla

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

Universidad Carlos III de Madrid Universidad de Cantabria Athens University of Economics and Business Clarion University Google (United States)

About

Miguel Lázaro-Gredilla is an author at Universidad Carlos III de Madrid specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	20	1.8K
2	Cognitive Science	5	5	284
3	Social Sciences	4	4	268
4	Management	3	3	237
5	Public Health	3	3	316

Miguel Lázaro-Gredilla

Publications

2.1K

Citations

H-Index

Page 1

	Year	Citations
Sparse Spectrum Gaussian Process Regression Miguel Lázaro-Gredilla, Joaquin Quiñonero-Candela, Carl Edward Rasmussen, Journal of Machine Learning Research Sparse RepresentationEngineeringMachine LearningHigh-dimensional MethodRegression Tasks	2010	388
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs Dileep George, Wolfgang Lehrach, Ken Kansky, Science Artificial IntelligenceGenerative Vision ModelEngineeringMachine LearningGeneral Artificial Intelligence	2017	291
Kernel Recursive Least-Squares Tracker for Time-Varying Regression Steven Van Vaerenbergh, Miguel Lázaro-Gredilla IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningFiltering TechniqueData ScienceData Mining	2012	172
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning Miguel Lázaro-Gredilla, Michalis K. Titsias Neural Information Processing Systems EngineeringMachine LearningMultimodal LearningSparse InferenceSocial Sciences	2011	164
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky, Tom Silver, David A. Mély, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningSequential LearningSchema Network	2017	150
Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes Miguel Lázaro-Gredilla, Michalis K. Titsias, Jochem Verrelst, IEEE Geoscience and Remote Sensing Letters Homoscedastic GprEnvironmental MonitoringEngineeringGaussian ProcessRemote Sensing	2013	136
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps Dileep George, Rajeev Rikhye, Nishad Gothoskar, Nature Communications	2021	106
Overlapping Mixtures of Gaussian Processes for the data association problem Miguel Lázaro-Gredilla, Steven Van Vaerenbergh, Neil D. Lawrence Pattern Recognition Mixture DistributionEngineeringData MiningMixture AnalysisData Association Problem	2011	105
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features Anı́bal R. Figueiras-Vidal, Miguel Lázaro-Gredilla	2009	73
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs Miguel Lázaro-Gredilla, Dianhuan Lin, J. Swaroop Guntupalli, Science Robotics Artificial IntelligenceEngineeringMachine LearningIntelligent RoboticsCognition	2019	65

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