Édgar Roldán

According to our database, Édgar Roldán authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The impact of memory on learning sequence-to-sequence tasks.

Alireza Seif, Sarah A. M. Loos, Gennaro Tucci, Édgar Roldán, Sebastian Goldt

Mach. Learn. Sci. Technol., 2024

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

2023

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, Thomas E. Ouldridge, Andréa W. Richa, Paul M. Riechers, Édgar Roldán, Brenda M. Rubenstein, Zoltán Toroczkai, Joseph A. Paradiso

CoRR, 2023

2020

Optimal Work Extraction and the Minimum Description Length Principle.

Léo Touzo, Matteo Marsili, Neri Merhav, Édgar Roldán

CoRR, 2020

2018

Testing Optimality of Sequential Decision-Making.

Meik Dörpinghaus, Izaak Neri, Édgar Roldán, Heinrich Meyr, Frank Jülicher

CoRR, 2018

2017

An information theoretic analysis of sequential decision-making.

Meik Dorpinghaus, Édgar Roldán, Izaak Neri, Heinrich Meyr, Frank Jülicher

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017