94 citations
- University of California, Los AngelesUS16 papers
- University of FloridaUS10 papers
- California State University, NorthridgeUS4 papers
- ETH ZurichCH3 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
30 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…