Mateo Rojas-Carulla - Concepedia

Author

Mateo Rojas-Carulla

Max Planck Institute for Intelligent Systems

Also Known As

Mateo Rojas-Carulla, Rojas-Carulla, Mateo

Publications

636

Citations

H-Index

Concepts

All Affiliations

Max Planck Institute for Intelligent Systems Max Planck Society

About

Mateo Rojas-Carulla is an author at Max Planck Institute for Intelligent Systems specializing in machine learning, data science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	504
2	Data Science	7	7	504
3	Public Health	6	6	463
4	Computer Science	6	6	488
5	Cognitive Science	3	3	274

Mateo Rojas-Carulla

Publications

569

Citations

H-Index

Page 1

	Year	Citations
Avoiding Discrimination through Causal Reasoning Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, arXiv (Cornell University) EngineeringMachine LearningDiscriminationCausal InferenceData Science	2017	178
Invariant Models for Causal Transfer Learning Mateo Rojas-Carulla, Bernhard Schölkopf, Richard E. Turner, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCausal InferenceData Science	2015	163
Learning Independent Causal Mechanisms Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, MPG.PuRe (Max Planck Society) Artificial IntelligenceEngineeringMachine LearningCausal InferenceGenerative System	2018	83
DeepMAsED: evaluating the quality of metagenomic assemblies Olga Mineeva, Mateo Rojas-Carulla, Ruth E. Ley, Bioinformatics	2020	50
Discriminative k-shot learning using probabilistic models Matthias Bauer, Mateo Rojas-Carulla, Jakub Świątkowski, arXiv (Cornell University) Few-shot LearningImage ClassificationMachine VisionMachine LearningData Science	2017	41
Causal Transfer in Machine Learning Mateo Rojas-Carulla, Bernhard Schölkopf, Richard E. Turner, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCausal InferenceData Science	2015	16
Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning Alex Hawkins‐Hooker, Giovanni Visonà, Tanmayee Narendra, Nature Communications	2023	15
Learning Independent Causal Mechanisms Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCausal InferenceGenerative System	2017	13
Causal Discovery Using Proxy Variables Mateo Rojas-Carulla, Marco Baroni, David López-Paz arXiv (Cornell University) EngineeringMachine LearningInformation ForensicsCausal RelationCorpus Linguistics	2017	10

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