Search Results for author: Tony Tohme

Found 4 papers, 0 papers with code

Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction

no code implementations5 Oct 2023 Aadi Kothari, Tony Tohme, Xiaotong Zhang, Kamal Youcef-Toumi

We propose a novel human motion prediction framework that incorporates human joint constraints and scene constraints in a Gaussian Process Regression (GPR) model to predict human motion over a set time horizon.

GPR Human motion prediction +2

MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation

no code implementations7 Jun 2023 Tony Tohme, Mohsen Sadr, Kamal Youcef-Toumi, Nicolas G. Hadjiconstantinou

We find that the addition of a symbolic search for basis functions improves the accuracy of the estimation at a reasonable additional computational cost.

Density Estimation Symbolic Regression

GSR: A Generalized Symbolic Regression Approach

no code implementations31 May 2022 Tony Tohme, Dehong Liu, Kamal Youcef-Toumi

Identifying the mathematical relationships that best describe a dataset remains a very challenging problem in machine learning, and is known as Symbolic Regression (SR).

regression Symbolic Regression

Reliable Neural Networks for Regression Uncertainty Estimation

no code implementations16 Sep 2021 Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi

While deep neural networks are highly performant and successful in a wide range of real-world problems, estimating their predictive uncertainty remains a challenging task.

Ensemble Learning regression

Cannot find the paper you are looking for? You can Submit a new open access paper.