activity
20162024
most citedImplicit energy regularization of neural ordinary-differential-equation control

94 citations · 785 across the 34 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

q-bio.PE2020★ 6 cited

Incentivizing Narrow-Spectrum Antibiotic Development with Refunding

Lucas Böttcher, Hans Gersbach

The rapid rise of antibiotic resistance is a serious threat to global public health. Without further incentives, pharmaceutical companies have little interest in developing antibio…

physics.soc-ph2020

Spatio-temporal characteristics of dengue outbreaks

Saulo D. S. Reis, Lucas Böttcher, João P. da C. Nogueira +4

After their re-emergence in the last decades, dengue fever and other vector-borne diseases are a potential threat to the lives of millions of people. Based on a data set of dengue…

cs.LG2020★ 39 cited

Neural Ordinary Differential Equation Control of Dynamics on Graphs

Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin

We study the ability of neural networks to calculate feedback control signals that steer trajectories of continuous time non-linear dynamical systems on graphs, which we represent…

q-bio.PE2020★ 28 cited

Why case fatality ratios can be misleading: individual- and population-based mortality estimates and factors influencing them

Lucas Böttcher, Mingtao Xia, Tom Chou

Different ways of calculating mortality ratios during epidemics have yielded very different results, particularly during the current COVID-19 pandemic. We formulate both a survival…

physics.soc-ph2020★ 26 cited

The Great Divide: Drivers of Polarization in the US Public

Lucas Böttcher, Hans Gersbach

Many democratic societies have become more politically polarized, with the U.S. as the main example. The origins of this phenomenon are still not well-understood and subject to deb…

cond-mat.dis-nn2020★ 43 cited

Learning the Ising Model with Generative Neural Networks

Francesco D'Angelo, Lucas Böttcher

Recent advances in deep learning and neural networks have led to an increased interest in the application of generative models in statistical and condensed matter physics. In parti…