10 citations · 19 across the 2 of their papers we have counts for
4 papers
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu +4
Understanding the models that characterize the thermal dynamics in a smart building is important for the comfort of its occupants and for its energy optimization. A significant amo…
Neuro-symbolic Architectures for Context Understanding
Alessandro Oltramari, Jonathan Francis, Cory Henson +2
Computational context understanding refers to an agent's ability to fuse disparate sources of information for decision-making and is, therefore, generally regarded as a prerequisit…
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seong Hyeon Park, Gyubok Lee, Manoj Bhat +6
Multi-agent trajectory forecasting in autonomous driving requires an agent to accurately anticipate the behaviors of the surrounding vehicles and pedestrians, for safe and reliable…
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Kaixin Ma, Jonathan Francis, Quanyang Lu +2
Non-extractive commonsense QA remains a challenging AI task, as it requires systems to reason about, synthesize, and gather disparate pieces of information, in order to generate re…