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02/08/2023
The fundamental thermodynamic costs of communication
In many complex systems, whether biological or artificial, the thermodyn...
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08/08/2022
What can we know about that which we cannot even imagine?
In this essay I will consider a sequence of questions, ending with one a...
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12/11/2021
The Past as a Stochastic Process
Historical processes manifest remarkable diversity. Nevertheless, schola...
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03/22/2021
The Implications of the No-Free-Lunch Theorems for Meta-induction
The important recent book by G. Schurz appreciates that the no-free-lunc...
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03/09/2021
The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes
Given a fixed physical process, we consider the entropy production (EP) ...
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08/25/2020
Entropy production and thermodynamics of information under protocol constraints
We investigate bounds on the entropy production (EP) and extractable wor...
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07/21/2020
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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01/07/2020
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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11/07/2019
Uncertainty relations and fluctuation theorems for Bayes nets
The pioneering paper [Ito and Sagawa, 2013] analyzed the non-equilibrium...
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05/14/2019
Stochastic thermodynamics of computation
One of the major resource requirements of computers - ranging from biolo...
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01/18/2018
Upgrading from Gaussian Processes to Student's-T Processes
Gaussian process priors are commonly used in aerospace design for perfor...
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05/06/2017
Nonlinear Information Bottleneck
Information bottleneck [IB] is a technique for extracting information in...
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06/07/2016
Reducing the error of Monte Carlo Algorithms by Learning Control Variates
Monte Carlo (MC) sampling algorithms are an extremely widely-used techni...
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09/25/2014
Optimal high-level descriptions of dynamical systems
To analyze high-dimensional systems, many fields in science and engineer...
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08/09/2014
Predicting the behavior of interacting humans by fusing data from multiple sources
Multi-fidelity methods combine inexpensive low-fidelity simulations with...
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03/06/2010
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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08/17/1999
