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06/30/2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Humans have the remarkable ability to recognize and acquire novel visual...
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06/15/2022
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
Subsurface simulations use computational models to predict the flow of f...
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11/09/2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Edge streams are commonly used to capture interactions in dynamic networ...
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09/06/2018
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data
Complex systems, such as airplanes, cars, or financial markets, produce ...
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06/12/2018
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data
With automobiles becoming increasingly reliant on sensors to perform var...
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05/07/2018
Prioritizing network communities
Uncovering modular structure in networks is fundamental for advancing th...
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06/09/2017
Driver Identification Using Automobile Sensor Data from a Single Turn
As automotive electronics continue to advance, cars are becoming more an...
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09/21/2015