Lucas Böttcher

Orcid: 0000-0003-1700-1897

According to our database1, Lucas Böttcher authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications.
CoRR, 2024

Organizational Selection of Innovation.
CoRR, 2024

Control of Medical Digital Twins with Artificial Neural Networks.
CoRR, 2024

Metamodeling and Control of Medical Digital Twins.
CoRR, 2024

Dynamical processes on metric networks.
CoRR, 2024

2023
Erratum: Classical and Quantum Random-Walk Centrality Measures in Multilayer Networks.
SIAM J. Appl. Math., February, 2023

Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks.
INFORMS J. Comput., 2023

Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion.
CoRR, 2023

Impact of random and targeted disruptions on information diffusion during outbreaks.
CoRR, 2023

2022
Near-optimal control of dynamical systems with neural ordinary differential equations.
Mach. Learn. Sci. Technol., December, 2022

Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Epidemic management and control through risk-dependent individual contact interventions.
PLoS Comput. Biol., 2022

Complex networks with complex weights.
CoRR, 2022

Visualizing high-dimensional loss landscapes with Hessian directions.
CoRR, 2022

Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems.
CoRR, 2022

Solving Inventory Management Problems with Inventory-dynamics-informed Neural Networks.
CoRR, 2022

Contagion Dynamics in Complex Networks.
Proceedings of the Automata and Complexity, 2022

2021
Classical and Quantum Random-Walk Centrality Measures in Multilayer Networks.
SIAM J. Appl. Math., 2021

Tradeoffs in Hierarchical Voting Systems.
CoRR, 2021

Implicit energy regularization of neural ordinary-differential-equation control.
CoRR, 2021

Random-graph models and characterization of granular networks.
J. Complex Networks, 2021

2020
The great divide: drivers of polarization in the US public.
EPJ Data Sci., 2020

NNC: Neural-Network Control of Dynamical Systems on Graphs.
CoRR, 2020

Unifying susceptible-infected-recovered processes on networks.
CoRR, 2020

Learning the Ising Model with Generative Neural Networks.
CoRR, 2020

A Random-Line-Graph Approach to Overlapping Line Segments.
J. Complex Networks, 2020

2019
The Impact of Technologies in Political Campaigns.
CoRR, 2019


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