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2020 – today
- 2022
[j4]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)- 2021
- [c9]Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu:
ACRE: Abstract Causal REasoning Beyond Covariation. CVPR 2021: 10643-10653 - [i4]Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu:
ACRE: Abstract Causal REasoning Beyond Covariation. CoRR abs/2103.14232 (2021) - 2020
- [c8]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: 1283-1291 - [c7]Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu:
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. SSCI 2020: 442-448 - [i3]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 abs/2004.09044 (2020)
2010 – 2019
- 2019
- [j3]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): 175-192 (2019) - [j2]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) - [j1]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): 601-614 (2019) - [c6]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: 1696-1702 - [i2]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 abs/1911.11185 (2019) - 2018
- [c5]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 - [c4]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: 1-9 - 2017
- [b1]Mark Edmonds:
Learning Complex Functional Manipulations by Human Demonstration and Fluent Discovery. University of California, Los Angeles, USA, 2017 - [c3]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: 3530-3537 - [c2]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: 6617-6624 - [i1]Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu:
Interactively Transferring CNN Patterns for Part Localization. CoRR abs/1708.01783 (2017) - 2015
- [c1]Mark Edmonds, Tanvir Atahary, Tarek M. Taha, Scott A. Douglass:
High performance declarative memory systems through MapReduce. SNPD 2015: 93-100
Coauthor Index
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