11 citations · 12 across the 6 of their papers we have counts for
6 papers
6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation
Brandon Colelough, Vladimir Martirosyan, Ishan Tamrakar +6
We present a six-stage framework for auditing the reproducibility of scientific claims across a research literature within the computer science domain, and instantiate our framewor…
OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness
Phuc D. A. Nguyen, Anh N. Nhu, Ming C. Lin
We introduce OpenVO, a novel framework for Open-world Visual Odometry (VO) with temporal awareness under limited input conditions. OpenVO effectively estimates real-world-scale ego…
PHORECAST: Enabling AI Understanding of Public Health Outreach Across Populations
Rifaa Qadri, Anh Nhat Nhu, Swati Ramnath +6
Understanding how diverse individuals and communities respond to persuasive messaging holds significant potential for advancing personalized and socially aware machine learning. Wh…
Time-Aware World Model for Adaptive Prediction and Control
Anh N. Nhu, Sanghyun Son, Ming Lin
In this work, we introduce the Time-Aware World Model (TAWM), a model-based approach that explicitly incorporates temporal dynamics. By conditioning on the time-step size, Δt, and…
Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control
Anh N. Nhu, Ngoc-Anh Le, Shihang Li +1
The suspension system is a crucial part of the automotive chassis, improving vehicle ride comfort and isolating passengers from rough road excitation. Unlike passive suspension, wh…
Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique
Anh Nhat Nhu, Ritvik Sahajpal, Christina Justice +1
Accurate yield forecasting is essential for making informed policies and long-term decisions for food security. Earth Observation (EO) data and machine learning algorithms play a k…