Mark Edmonds

According to our database, Mark Edmonds authored at least 16 papers between 2015 and 2022.

Collaborative distances:

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

2022

In situ bidirectional human-robot value alignment.

Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu

Sci. Robotics, 2022

2021

ACRE: Abstract Causal REasoning Beyond Covariation.

Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense.

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

CoRR, 2020

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics.

Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning.

Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce.

Mark Edmonds, Tanvir Atahary, Scott Douglass, Tarek M. Taha

IEEE Trans. Parallel Distributed Syst., 2019

A tale of two explanations: Enhancing human trust by explaining robot behavior.

Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu

Sci. Robotics, 2019

Exploring corporate governance research in accounting journals through latent semantic and topic analyses.

Ferhat D. Zengul, James D. Byrd Jr., Nurettin Oner, Mark Edmonds, Arline Savage

Intell. Syst. Account. Finance Manag., 2019

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning.

Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions.

Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Human Causal Transfer: Challenges for Deep Reinforcement Learning.

Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Learning Complex Functional Manipulations by Human Demonstration and Fluent Discovery.

Mark Edmonds

PhD thesis, 2017

Interactively Transferring CNN Patterns for Part Localization.

Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu

CoRR, 2017

A glove-based system for studying hand-object manipulation via joint pose and force sensing.

Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica J. Santos, Brandon Rothrock, Song-Chun Zhu

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles.

Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2015

High performance declarative memory systems through MapReduce.

Mark Edmonds, Tanvir Atahary, Tarek M. Taha, Scott A. Douglass

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015