Unmesh Kurup
Unmesh Kurup
Intuition Machines
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Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving
J Guo, U Kurup, M Shah
IEEE Transactions on Intelligent Transportation Systems 21 (8), 3135-3151, 2019
A survey of on-device machine learning: An algorithms and learning theory perspective
S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah
ACM Transactions on Internet of Things 2 (3), 1-49, 2021
The importance of shared mental models and shared situation awareness for transforming robots from tools to teammates
S Ososky, D Schuster, F Jentsch, S Fiore, R Shumaker, C Lebiere, ...
Unmanned systems technology XIV 8387, 397-408, 2012
An architecture for problem solving with diagrams
B Chandrasekaran, U Kurup, B Banerjee, JR Josephson, R Winkler
Diagrammatic Representation and Inference: Third International Conference …, 2004
Pruning algorithms to accelerate convolutional neural networks for edge applications: A survey
J Liu, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:2005.04275, 2020
What can cognitive architectures do for robotics?
U Kurup, C Lebiere
Biologically Inspired Cognitive Architectures 2, 88-99, 2012
An architecture for adaptive algorithmic hybrids
N Cassimatis, P Bignoli, M Bugajska, S Dugas, U Kurup, A Murugesan, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009
An architectural framework for complex cognition
U Kurup, PG Bignoli, JR Scally, NL Cassimatis
Cognitive Systems Research 12 (3-4), 281-292, 2011
Auptimizer-an extensible, open-source framework for hyperparameter tuning
J Liu, S Tripathi, U Kurup, M Shah
2019 IEEE International Conference on Big Data (Big Data), 339-348, 2019
Using Expectations to Drive Cognitive Behavior
U Kurup, C Lebiere, A Stentz, M Hebert
AAAI 2012, 2012
A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments.
B Chandrasekaran, U Kurup, B Banerjee
AAAI Spring Symposium: Reasoning with Mental and External Diagrams …, 2005
Diagrammatic reasoning in support of situation understanding and planning
B Chandrasekaran, JR Josephson, B Banerjee, U Kurup, R Winkler
Proc. 23rd Army Science Conference, 2002
Usability study of distributed deep learning frameworks for convolutional neural networks
J Liu, J Dutta, N Li, U Kurup, M Shah
Deep Learning Day at SIGKDD Conference on Knowledge Discovery and Data Mining, 2018
Augmenting cognitive architectures to support diagrammatic imagination
B Chandrasekaran, B Banerjee, U Kurup, O Lele
Topics in cognitive science 3 (4), 760-777, 2011
Effective building block design for deep convolutional neural networks using search
JK Dutta, J Liu, U Kurup, M Shah
arXiv preprint arXiv:1801.08577, 2018
Modeling memories of large-scale space using a bimodal cognitive architecture
U Kurup, B Chandrasekaran
Proceedings of the eighth international conference on cognitive modeling …, 2007
Effective building block design for deep convolutional neural networks using search
JK Dutta, J Liu, U Kurup, M Shah
US Patent 10,776,668, 2020
Multi-modal cognitive architectures: A partial solution to the frame problem
U Kurup, B Chandrasekaran
Proceedings of The 28th annual conference of the cognitive science society, 2006
Integrating constraint satisfaction and spatial reasoning
U Kurup, N Cassimatis
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1536-1541, 2010
Quantitative spatial reasoning for general intelligence
U Kurup, NL Cassimatis
3d Conference on Artificial General Intelligence (AGI-2010), 15-20, 2010
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