2 citations · 3 across the 4 of their papers we have counts for
5 papers
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries
Sangeet Sankaramangalam Ulhas, Aditya Ravichander, Kathryn A. Johnson +3
CHARTOPOLIS is a multi-faceted sociotechnical testbed meant to aid in building connections among engineers, psychologists, anthropologists, ethicists, and artists. Superficially, i…
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Jinyung Hong, Theodore P. Pavlic
Insects, such as fruit flies and honey bees, can solve simple associative learning tasks and learn abstract concepts such as "sameness" and "difference", which is viewed as a highe…
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig +1
Most deep-learning frameworks for understanding biological swarms are designed to fit perceptive models of group behavior to individual-level data (e.g., spatial coordinates of ide…
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness
Jinyung Hong, Theodore P. Pavlic
Neural Tensor Networks (NTNs), which are structured to encode the degree of relationship among pairs of entities, are used in Logic Tensor Networks (LTNs) to facilitate Statistical…
Modeling Concurrency and Reconfiguration in Vehicular Systems: A -calculus Approach
Joseph Campbell, Cumhur Erkan Tuncali, Theodore P. Pavlic +1
As autonomous or semi-autonomous vehicles are deployed on the roads, they will have to eventually start communicating with each other in order to achieve increased efficiency and s…