34 citations
- University of California, Los AngelesUS12 papers
- University of FloridaUS10 papers
- California State University, NorthridgeUS3 papers
- Santa Fe InstituteUS3 papers
- Aristotle University of ThessalonikiGR2 papers
- University of ZurichCH2 papers
- California Institute of TechnologyUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Charles R. Drew University of Medicine and ScienceUS1 paper
- Columbia UniversityUS1 paper
- Courant Institute of Mathematical SciencesUS1 paper
- Coventry UniversityGB1 paper
27 papers
Control of dynamical systems with neural networks
Lucas Böttcher
Control problems frequently arise in scientific and industrial applications, where the objective is to steer a dynamical system from an initial state to a desired target state. Rec…
Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Model
Yurun Ge, Lucas Böttcher, Tom Chou +1
How to allocate limited resources to projects that will yield the greatest long-term benefits is a problem that often arises in decision-making under uncertainty. For example, orga…
Reconstructing Noisy Gene Regulation Dynamics Using Extrinsic-Noise-Driven Neural Stochastic Differential Equations
Jiancheng Zhang, Xiangting Li, Xiaolu Guo +6
Proper regulation of cell signaling and gene expression is crucial for maintaining cellular function, development, and adaptation to environmental changes. Reaction dynamics in cel…
Clustering-induced localization of quantum walks on networks
Lucas Böttcher, Mason A. Porter
Quantum walks on networks are a paradigmatic model in quantum information theory. Quantum-walk algorithms have been developed for various applications, including spatial-search pro…
Aggregating multiple test results to improve medical decision-making
Lucas Böttcher, Maria R. D'Orsogna, Tom Chou
Gathering observational data for medical decision-making often involves uncertainties arising from both type I (false positive)and type II (false negative) errors. In this work, we…
Organizational Selection of Innovation
Lucas Böttcher, Ronald Klingebiel
Budgetary constraints force organizations to pursue only a subset of possible innovation projects. Identifying which subset is most promising is an error-prone exercise, and involv…