activity
20182026
most citedLearning the latent structure of collider events

54 citations · 248 across the 33 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

hep-ph2020★ 6 cited

Topping-up multilepton plus b-jets anomalies at the LHC with a boson

Ezequiel Alvarez, Aurelio Juste, Manuel Szewc +1

During the last years ATLAS and CMS have reported a number of slight to mild discrepancies in signatures of multileptons plus -jets in analyses such as , $t\bar t W^\…

physics.soc-ph2020

Containing COVID-19 outbreaks using a Firewall

Ezequiel Alvarez, Leandro Da Rold, Federico Lamagna +1

COVID-19 outbreaks have proven to be very difficult to isolate and extinguish before they spread out. An important reason behind this might be that epidemiological barriers consist…

hep-ph2020★ 54 cited

Learning the latent structure of collider events

Barry M. Dillon, Darius A. Faroughy, Jernej F. Kamenik +1

We describe a technique to learn the underlying structure of collider events directly from the data, without having a particular theoretical model in mind. It allows to infer aspec…

q-bio.QM2020

A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer

Ezequiel Alvarez, Federico Lamagna, Manuel Szewc

The appearance of a new dangerous and contagious disease requires the development of a drug therapy faster than what is foreseen by usual mechanisms. Many drug therapy developments…

cs.LG2020

Intelligent Arxiv: Sort daily papers by learning users topics preference

Ezequiel Alvarez, Federico Lamagna, Cesar Miquel +1

Current daily paper releases are becoming increasingly large and areas of research are growing in diversity. This makes it harder for scientists to keep up to date with current sta…