2 papers
cs.LG2024
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement
Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
Estimating treatment effects from observational data is paramount in healthcare, education, and economics, but current deep disentanglement-based methods to address selection bias…
cs.RO2024
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow
Yufei Zhu, Han Fan, Andrey Rudenko +3
Long-term human motion prediction (LHMP) is essential for safely operating autonomous robots and vehicles in populated environments. It is fundamental for various applications, inc…