Isaac Ronald Ward

19 papers B 1C 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Foundational World Models Accurately Detect Bimanual Manipulator Failures. CoRR Isaac Ronald Ward, Michelle Ho, Houjun Liu, Aaron O. Feldman, Joseph Vincent, Liam Kruse, Sean Cheong, Duncan Eddy, Mykel J. Kochenderfer, Mac Schwager
2026	J	`jnl`	World Model Failure Classification and Anomaly Detection for Autonomous Inspection. CoRR Michelle Ho, Muhammad Fadhil Ginting, Isaac Ronald Ward, Andrzej Reinke, Mykel J. Kochenderfer, Ali Akbar Aghamohammadi, Shayegan Omidshafiei
2025	C	`conf`	Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers. CoDIT Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer
2025	J	`jnl`	Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers. CoRR Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer
2025	J	`jnl`	Real World Robotic Exploration using Deep Neural Networks Trained in Photorealistic Reconstructed Environments. CoRR Isaac Ronald Ward
2024	B	`conf`	Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CBMS Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer
2024	J	`jnl`	Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CoRR Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer
2023	C	`conf`	Reconstruction of Sea Surface Temperature under Clouds using Masked Autoencoders. IGARSS Edwin Goh, Alice Yepremyan, Isaac Ronald Ward, Jinbo Wang, Brian Wilson
2022	J	`jnl`	A Practical Tutorial on Graph Neural Networks. ACM Comput. Surv. Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Yulan Guo, Mohammed Bennamoun
2022	J	`jnl`	A comparative study on optical flow for facial expression analysis. Neurocomputing Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chabane Djeraba, Mohammed Bennamoun
2022	—	`conf`	Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. ECCV Workshops (1) Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh
2022	J	`jnl`	Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. CoRR Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh
2021	J	`jnl`	Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? CoRR Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2021	J	`jnl`	Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? Comput. Methods Programs Biomed. Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2020	J	`jnl`	A Practical Guide to Graph Neural Networks. CoRR Isaac Ronald Ward, Jack Joyner, Casey Lickfold, Stash Rowe, Yulan Guo, Mohammed Bennamoun
2019	—	`conf`	Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function. PSIVT Workshops Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun
2019	J	`jnl`	Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function. CoRR Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun
2019	J	`jnl`	Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements. CoRR Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
2019	J	`jnl`	RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques. CoRR Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun