1 citations · 2 across the 6 of their papers we have counts for
6 papers
Unveiling hidden features of social evolution by inferring Langevin dynamics from data
Youngkyoung Bae, Hajime Shimao, Seungwoong Ha +2
Are there hidden dynamical common patterns in the evolution of social and cultural history? While the growing availability of digitized social data invites us to answer this questi…
Stochastic Thermodynamics of Associative Memory
Spencer Rooke, Dmitry Krotov, Vijay Balasubramanian +1
Dense Associative Memory networks (DenseAMs) unify several popular paradigms in Artificial Intelligence (AI), such as Hopfield Networks, transformers, and diffusion models, while c…
Disentangling Boltzmann brains, the time-asymmetry of memory, and the second law
David Wolpert, Carlo Rovelli, Jordan Scharnhorst
Are your perceptions, memories and observational data, a statistical fluctuation out of the thermal equilibrium of the universe, having no correlation with the actual past state of…
Stochastic Process Turing Machines
David Wolpert, Jordan Scharnhorst
Computer science theory provides many different measures of complexity of a system including Kolmogorov complexity, logical depth, computational depth, and Levin complexity. Howeve…
Boltzmann Bridges
Jordan Scharnhorst, David Wolpert, Carlo Rovelli
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 conditi…
Why you do not need to worry about the standard argument that you are a Boltzmann brain
Carlo Rovelli, David Wolpert
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? Argume…