Mark Edmonds

ORCID

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 16

Top Venues

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu
In situ bidirectional human-robot value alignment. Sci. Robotics 7 (68) (2022)
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
ACRE: Abstract Causal REasoning Beyond Covariation. CVPR (2021)
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
ACRE: Abstract Causal REasoning Beyond Covariation. CoRR (2021)
Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. AAAI (2020)
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
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. CoRR (2020)
Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. SSCI (2020)
Ferhat D. Zengul, James D. Byrd Jr., Nurettin Oner, Mark Edmonds, Arline Savage
Exploring corporate governance research in accounting journals through latent semantic and topic analyses. Intell. Syst. Account. Finance Manag. 26 (4) (2019)
Mark Edmonds, Tanvir Atahary, Scott Douglass, Tarek M. Taha
Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu
A tale of two explanations: Enhancing human trust by explaining robot behavior. Sci. Robotics 4 (37) (2019)
Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. CoRR (2019)
Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu
Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. CogSci (2019)
Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu
Human Causal Transfer: Challenges for Deep Reinforcement Learning. CogSci (2018)
Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu
Unsupervised Learning of Hierarchical Models for Hand-Object Interactions. ICRA (2018)
Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu
Interactively Transferring CNN Patterns for Part Localization. CoRR (2017)
Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica J. Santos, Brandon Rothrock, Song-Chun Zhu
A glove-based system for studying hand-object manipulation via joint pose and force sensing. IROS (2017)
Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu
Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles. IROS (2017)
Mark Edmonds, Tanvir Atahary, Tarek M. Taha, Scott A. Douglass
High performance declarative memory systems through MapReduce. SNPD (2015)

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Publication Activity (10 Years)

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Mark Edmonds