Laura Hiatt

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 7

Top Topics

Associative Learning

Data Representations

Inverse Kinematics

Top Venues

AAAI Spring Symposia

Publications

Julia Ashkanazy, Ariana Spalter, Joe Hays, Laura Hiatt, Roxana Leontie, C. Glen Henshaw
Collision-Free Inverse Kinematics Through QP Optimization (iKinQP). CoRR (2023)
Sunandita Patra, Mark Cavolowsky, Onur Kulaksizoglu, Ruoxi Li, Laura Hiatt, Mark Roberts, Dana S. Nau
A Hierarchical Goal-Biased Curriculum for Training Reinforcement Learning. FLAIRS (2022)
Laura Hiatt, Steven Jones
An associative learning account for retrieval-induced forgetting. CogSci (2020)
William F. Lawless, Ranjeev Mittu, Don Sofge, Laura Hiatt
Artificial intelligence, Autonomy, and Human-Machine Teams - Interdependence, Context, and Explainable AI. AI Mag. 40 (3) (2019)
Laura Hiatt
Computational Context as Cognitive Priming. AAAI Spring Symposia (2017)
Laura Hiatt
A Priming Model of Category-based Feature Inference. CogSci (2017)
Laura Hiatt, Roy J. Adams, Benjamin M. Marlin
An Improved Data Representation for Smoking Detection with Wearable Respiration Sensors. ICHI (2016)