output
20172024
most citedPADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology

6 citations

5 papers

cs.CY2024★ 6 cited

PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology

Myke C. Cohen, Nayoung Kim, Yang Ba +7

Despite an extensive body of literature on trust in technology, designing trustworthy AI systems for high-stakes decision domains remains a significant challenge, further compounde…

math.NA2023★ 5 cited

A Charge Conserving Exponential Predictor Corrector FEMPIC Formulation for Relativistic Particle Simulations

Omkar H. Ramachandran, Leo C. Kempel, John Luginsland +1

The state of art of charge-conserving electromagnetic finite element particle-in-cell has grown by leaps and bounds in the past few years. These advances have primarily been achiev…

cs.LG2021★ 2 cited

NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks

Jie Wei, Zhigang Zhu, Erik Blasch +5

During natural disasters, aircraft and satellites are used to survey the impacted regions. Usually human experts are needed to manually label the degrees of the building damage so…

cs.NI2021★ 4 cited

TULVCAN: Terahertz Ultra-broadband Learning Vehicular Channel-Aware Networking

Chia-Hung Lin, Shih-Chun Lin, Erik Blasch

Due to spectrum scarcity and increasing wireless capacity demands, terahertz (THz) communications at 0.1-10THz and the corresponding spectrum characterization have emerged to meet…

physics.plasm-ph2017★ 4 cited

Conservative Algorithms for Non-Maxwellian Plasma Kinetics

H. P. Le, J. -L. Cambier

We present a numerical model and a set of conservative algorithms for Non-Maxwellian plasma kinetics with inelastic collisions. These algorithms self-consistently solve for the tim…