15 citations · 61 across the 23 of their papers we have counts for
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cs.AI2019
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
Heather Riley, Mohan Sridharan
State of the art algorithms for many pattern recognition problems rely on deep network models. Training these models requires a large labeled dataset and considerable computational…
cs.AI2019
Towards a Theory of Intentions for Human-Robot Collaboration
Rocio Gomez, Mohan Sridharan, Heather Riley
The architecture described in this paper encodes a theory of intentions based on the the key principles of non-procrastination, persistence, and automatically limiting reasoning to…
cs.RO2019★ 4 cited
Generative grasp synthesis from demonstration using parametric mixtures
Ermano Arruda, Claudio Zito, Mohan Sridharan +2
We present a parametric formulation for learning generative models for grasp synthesis from a demonstration. We cast new light on this family of approaches, proposing a parametric…