Search Results for author: Fernando Rosas

Found 5 papers, 3 papers with code

A multi-layered energy consumption model for smart wireless acoustic sensor networks

1 code implementation17 Dec 2018 Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers

This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.

Beyond integrated information: A taxonomy of information dynamics phenomena

1 code implementation5 Sep 2019 Pedro A. M. Mediano, Fernando Rosas, Robin L. Carhart-Harris, Anil. K. Seth, Adam B. Barrett

Most information dynamics and statistical causal analysis frameworks rely on the common intuition that causal interactions are intrinsically pairwise -- every 'cause' variable has an associated 'effect' variable, so that a 'causal arrow' can be drawn between them.

Neurons and Cognition Data Analysis, Statistics and Probability

An operational information decomposition via synergistic disclosure

1 code implementation28 Jan 2020 Fernando Rosas, Pedro Mediano, Borzoo Rassouli, Adam Barrett

Multivariate information decompositions hold promise to yield insight into complex systems, and stand out for their ability to identify synergistic phenomena.

Information Theory Information Theory Data Analysis, Statistics and Probability

Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits

no code implementations21 Sep 2020 M. Mahdi Azari, Atefeh Hajijamali Arani, Fernando Rosas

A cellular-connected unmanned aerial vehicle (UAV)faces several key challenges concerning connectivity and energy efficiency.

reinforcement-learning Reinforcement Learning (RL)

Pathway to Future Symbiotic Creativity

no code implementations18 Aug 2022 Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Jie Fu, Henrik Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu

This report presents a comprehensive view of our vision on the development path of the human-machine symbiotic art creation.

Philosophy

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