Isaac Ronald Ward

According to our database, Isaac Ronald Ward authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Foundational World Models Accurately Detect Bimanual Manipulator Failures.

Isaac Ronald Ward, Michelle Ho, Houjun Liu, Aaron O. Feldman, Joseph Vincent, Liam Kruse, Sean Cheong, Duncan Eddy, Mykel J. Kochenderfer, Mac Schwager

CoRR, March, 2026

World Model Failure Classification and Anomaly Detection for Autonomous Inspection.

Michelle Ho, Muhammad Fadhil Ginting, Isaac Ronald Ward, Andrzej Reinke, Mykel J. Kochenderfer, Ali Akbar Aghamohammadi, Shayegan Omidshafiei

CoRR, February, 2026

2025

Real World Robotic Exploration using Deep Neural Networks Trained in Photorealistic Reconstructed Environments.

Isaac Ronald Ward

CoRR, September, 2025

Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers.

Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer

Proceedings of the 11th International Conference on Control, 2025

2024

Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics.

Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Reconstruction of Sea Surface Temperature under Clouds using Masked Autoencoders.

Edwin Goh, Alice Yepremyan, Isaac Ronald Ward, Jinbo Wang, Brian Wilson

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Practical Tutorial on Graph Neural Networks.

Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Yulan Guo, Mohammed Bennamoun

ACM Comput. Surv., January, 2022

A comparative study on optical flow for facial expression analysis.

Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chabane Djeraba, Mohammed Bennamoun

Neurocomputing, 2022

Improving Contrastive Learning on Visually Homogeneous Mars Rover Images.

Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?

Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo

Comput. Methods Programs Biomed., 2021

2020

A Practical Guide to Graph Neural Networks.

Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Stash Rowe, Yulan Guo, Mohammed Bennamoun

CoRR, 2020

2019

RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques.

Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun

CoRR, 2019

Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements.

Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun

CoRR, 2019

Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function.

Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun

Proceedings of the Image and Video Technology, 2019