An information theoretic analysis of sequential decision-making. - Meik Dorpinghaus; Édgar Roldán; Izaak Neri; Heinrich Meyr; Frank Jülicher (ISIT, 2017)

Testing Optimality of Sequential Decision-Making. - Meik Dörpinghaus; Izaak Neri; Édgar Roldán; Heinrich Meyr; Frank Jülicher (CoRR, 2018)

Optimal Work Extraction and the Minimum Description Length Principle. - Léo Touzo; Matteo Marsili; Neri Merhav; Édgar Roldán (CoRR, 2020)

The impact of memory on learning sequence-to-sequence tasks. - Alireza Seif; Sarah A. M. Loos; Gennaro Tucci; Édgar Roldán; Sebastian Goldt (CoRR, 2022)

Is stochastic thermodynamics the key to understanding the energy costs of computation? - David H. Wolpert; Jan Korbel; Christopher Lynn; Farita Tasnim; Joshua A. Grochow; Gülce Kardes; James B. Aimone; Vijay Balasubramanian; Eric De Giuli; David Doty; Nahuel Freitas; Matteo Marsili; et al. (CoRR, 2023)

Machine learning for cerebral blood vessels' malformations. - Irem Topal; Alexander Cherevko; Yuri Bugay; Maxim A. Shishlenin; Jean Barbier; Deniz Eroglu; Édgar Roldán; Roman Belousov (CoRR, 2024)