44 citations · 94 across the 5 of their papers we have counts for
5 papers
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multi-Agent Path Finding
Derek Onken, Levon Nurbekyan, Xingjian Li +3
We propose a neural network approach that yields approximate solutions for high-dimensional optimal control problems and demonstrate its effectiveness using examples from multi-age…
A Neural Network Approach Applied to Multi-Agent Optimal Control
Derek Onken, Levon Nurbekyan, Xingjian Li +3
We propose a neural network approach for solving high-dimensional optimal control problems. In particular, we focus on multi-agent control problems with obstacle and collision avoi…
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li +1
A normalizing flow is an invertible mapping between an arbitrary probability distribution and a standard normal distribution; it can be used for density estimation and statistical…
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows
Derek Onken, Lars Ruthotto
We compare the discretize-optimize (Disc-Opt) and optimize-discretize (Opt-Disc) approaches for time-series regression and continuous normalizing flows (CNFs) using neural ODEs. Ne…
The lunar cycle's influence on sex determination at conception in humans
Derek Onken, Eric Marty, Roberto Palomares +4
The lunar cycle has long been suspected to influence biological phenomena. Folklore alludes to such a relationship, but previous scientific analyses have failed to find significant…