no code implementations • 23 Sep 2023 • Alberto Fernández, Sergio Gómez
"mdendro" is an R package that provides a comprehensive collection of linkage methods for agglomerative hierarchical clustering on a matrix of proximity data (distances or similarities), returning a multifurcated dendrogram or multidendrogram.
no code implementations • 8 Mar 2021 • Aniello Lampo, Javier Borge-Holthoefer, Sergio Gómez, Albert Solé-Ribalta
The analysis of a large amount of real road networks in previous works showed that congestion points experience spatial abrupt transitions, namely they shift away from the city center as larger urban areas are incorporated.
Physics and Society Adaptation and Self-Organizing Systems
1 code implementation • NeurIPS 2020 • Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez, Konrad Zolna, Rishabh Agarwal, Josh S. Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
We hope that our suite of benchmarks will increase the reproducibility of experiments and make it possible to study challenging tasks with a limited computational budget, thus making RL research both more systematic and more accessible across the community.
1 code implementation • 21 Jun 2019 • Alberto Fernández, Sergio Gómez
Agglomerative hierarchical clustering can be implemented with several strategies that differ in the way elements of a collection are grouped together to build a hierarchy of clusters.
no code implementations • 28 Dec 2015 • Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis
This paper describes a framework for modeling the interface between perception and memory on the algorithmic level of analysis.
1 code implementation • 23 Jan 2015 • Clara Granell, Richard K. Darst, Alex Arenas, Santo Fortunato, Sergio Gómez
In them, the time evolution consists of a periodic oscillation of the system's structure between configurations with built-in community structure.
Physics and Society Social and Information Networks Data Analysis, Statistics and Probability