
Entropy production and thermodynamics of information under protocol constraints
We investigate bounds on the entropy production (EP) and extractable wor...
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What is important about the No Free Lunch theorems?
The No Free Lunch theorems prove that under a uniform distribution over ...
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Minimum entropy production in multipartite processes due to neighborhood constraints
It is known that the minimal total entropy production (EP) generated dur...
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Uncertainty relations and fluctuation theorems for Bayes nets
The pioneering paper [Ito and Sagawa, 2013] analyzed the nonequilibrium...
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Stochastic thermodynamics of computation
One of the major resource requirements of computers  ranging from biolo...
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Upgrading from Gaussian Processes to Student'sT Processes
Gaussian process priors are commonly used in aerospace design for perfor...
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Nonlinear Information Bottleneck
Information bottleneck [IB] is a technique for extracting information in...
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Reducing the error of Monte Carlo Algorithms by Learning Control Variates
Monte Carlo (MC) sampling algorithms are an extremely widelyused techni...
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Optimal highlevel descriptions of dynamical systems
To analyze highdimensional systems, many fields in science and engineer...
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Predicting the behavior of interacting humans by fusing data from multiple sources
Multifidelity methods combine inexpensive lowfidelity simulations with...
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What does Newcomb's paradox teach us?
In Newcomb's paradox you choose to receive either the contents of a part...
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Collective Intelligence for Control of Distributed Dynamical Systems
We consider the El Farol bar problem, also known as the minority game (W...
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