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pro vyhledávání: '"Wolpert, A."'
Stochastic thermodynamics extends equilibrium statistical physics to systems arbitrarily far from thermal equilibrium, with arbitrarily many quickly evolving degrees of freedom. These features make it the correct framework for analyzing the thermodyn
Externí odkaz:
http://arxiv.org/abs/2411.16088
Autor:
Dantsin, Evgeny, Wolpert, Alexander
A property of a recurrent neural network (RNN) is called \emph{extensional} if, loosely speaking, it is a property of the function computed by the RNN rather than a property of the RNN algorithm. Many properties of interest in RNNs are extensional, f
Externí odkaz:
http://arxiv.org/abs/2410.22730
Autor:
Yadav, Abhishek, Wolpert, David
Thermodynamic cost of communication is a major factor in the thermodynamic cost of real world computers, both biological and digital. However, little is known about the fundamental features of this cost. Addressing this hole in the literature, our fi
Externí odkaz:
http://arxiv.org/abs/2410.14920
Autor:
Wolpert, David, Scharnhorst, Jordan
Computer science theory provides many different measures of complexity of a system including Kolmogorov complexity, logical depth, computational depth, and Levin complexity. However, these measures are all defined only for deterministic Turing machin
Externí odkaz:
http://arxiv.org/abs/2410.07131
Despite their success in various vision tasks, deep neural network architectures often underperform in out-of-distribution scenarios due to the difference between training and target domain style. To address this limitation, we introduce One-Shot Sty
Externí odkaz:
http://arxiv.org/abs/2410.00900
Autor:
Wolpert, David H., Harper, Kyle
Social evolutionary theory seeks to explain increases in the scale and complexity of human societies, from origins to present. Over the course of the twentieth century, social evolutionary theory largely fell out of favor as a way of investigating hu
Externí odkaz:
http://arxiv.org/abs/2408.08861
Autor:
Rovelli, Carlo, Wolpert, David
Are you, with your perceptions, memories and observational data, a Boltzmann brain, namely a fleeting statistical fluctuation out of the thermal equilibrium of the universe? Arguments are given in the literature claiming that this bizarre hypothesis
Externí odkaz:
http://arxiv.org/abs/2407.13197
Many physical, biological, and even social systems are faced with the problem of how to efficiently harvest free energy from an environment that can have many possible states, yet only have a limited number of harvesting protocols to choose among. We
Externí odkaz:
http://arxiv.org/abs/2407.05507
It is often stated that the second law of thermodynamics follows from the condition that at some given time in the past the entropy was lower than it is now. Formally, this condition is the statement that $E[S(t)|S(t_0)]$, the expected entropy of the
Externí odkaz:
http://arxiv.org/abs/2407.02840
Autor:
Loredo, Thomas J., Wolpert, Robert L.
Bayesian inference gets its name from *Bayes's theorem*, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function. But Bayesian inference uses all o
Externí odkaz:
http://arxiv.org/abs/2406.18905