Frank Nielsen
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Grounded in AI and data analytics, this research area aims to bring intelligence to real-world systems and processes. From a cybernetics perspective, we pursue the extraction of efficient and meaningful information, connecting the results to practical applications in society and industry.
Frank Nielsen
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Takashi Isozaki
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Simulation not for predicting the future, but for shaping it. - Takahiro Sasaki
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Cybernetics Contact Center PrOject (C3PO)
A big Data Analysis Tool
An Artistic Approach to Question Our Relationship Between Human And AI Robots
Conversational Agents on Your Behalf: Opportunities and Challenges of Shared Autonomy in Voice Communication for Multitasking
Practically effective adjustment variable selection in causal inference
Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys–Fisher–Rao Center and the Gauss–Bregman Inductive Center
Approximation and bounding techniques for the Fisher-Rao distances
Beyond existing theories, into a new world ~the world of information geometry~
Planetary Scale Replication as an Agnostic Biosignature
Challenging the Limits of Information Extraction from Data
Nielsen, Frank
A Simple Approximation Method for the Fisher–Rao Distance between Multivariate Normal DistributionsEntropy | Vol.25, 2023
Nielsen, Frank and Okamura, Kazuki
On the f-Divergences Between Hyperboloid and Poincaré DistributionsGeometric Science of Information | pages 176--185, 2023
Nielsen, Frank
Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and the Jensen-Shannon∇-DivergencesGeometric Science of Information | pages 147--156, 2023