Niki Kilbertus - Concepedia

Author

Niki Kilbertus

Max Planck Institute for Intelligent Systems ORCID

Also Known As

Kilbertus, N., Kilbertus, Niki, Lawrence, Neil D., Niki Kilbertus

Publications

Citations

H-Index

Concepts

All Affiliations

Max Planck Institute for Intelligent Systems Max Planck Society University of Cambridge Helmholtz Zentrum München Technical University of Munich

About

Niki Kilbertus is an author at Max Planck Institute for Intelligent Systems specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	664
2	Medicine	4	4	122
3	Law	2	2	92
4	Management	2	2	45
5	Business	1	1	25

Niki Kilbertus

Publications

964

Citations

H-Index

Page 1

	Year	Citations
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Nature Medicine Predictive AnalyticsTreatment EffectOutcomes ResearchCausal MachinePublic Health	2024	208
Avoiding Discrimination through Causal Reasoning Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, arXiv (Cornell University) EngineeringMachine LearningDiscriminationCausal InferenceData Science	2017	178
Convolutional neural networks: A magic bullet for gravitational-wave detection? Timothy D. Gebhard, Niki Kilbertus, I. W. Harry, Physical review. D/Physical review. D. EngineeringMachine LearningBlack HolesBlack Hole PhysicsEinstein Telescope	2019	150
Learning Independent Causal Mechanisms Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, MPG.PuRe (Max Planck Society) Artificial IntelligenceEngineeringMachine LearningCausal InferenceGenerative System	2018	83
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus PolyPublie (École Polytechnique de Montréal) Artificial IntelligencePrivacy ProtectionEngineeringMachine LearningInformation Security	2025	62
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution Leon Hetzel, Simon Böhm, Niki Kilbertus, arXiv (Cornell University) Drug TargetEngineeringSingle-cell ResolutionMolecular BiologyMultiomics	2022	42
On Disentangled Representations Learned From Correlated Data Frederik Träuble, Elliot Creager, Niki Kilbertus, arXiv (Cornell University) Disentanglement ApproachesMachine LearningEngineeringCausal InferenceLatent Modeling	2020	38
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus, Adrià Gascón, Matt J. Kusner, arXiv (Cornell University) Artificial IntelligencePrivacy ProtectionEngineeringMachine LearningInformation Security	2018	30
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien, Nina Deliu, Richard E. Turner, 2022 ACM Conference on Fairness, Accountability, and Transparency Machine LearningResearch EthicsHealth LawBiasClinical Trials	2022	26
Fair Decisions Despite Imperfect Predictions Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, EconomicsBehavioral Decision MakingAlgorithmic BiasBiasAlgorithmic Fairness	2020	25

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