633 citations
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276 papers
Machine Learning-based Correlation of Charpy Impact Properties Between Sub-sized and Standard-sized Specimens for Nuclear Structural Materials
Yugandhar Kasala Sreenivasulu, Isshu Lee, John W. Merickel +5
Reliable correlations of Charpy impact test results between sub-sized and full-sized specimens are essential for structural integrity assessments, particularly in nuclear applicati…
Training Observable Control Policies to Expose Agent State Through Actions
Andres Enriquez Fernandez, John J. Bird
Physical or operational constraints often impose communications limitations on autonomous agents. Such limitations complicate monitoring or multiagent coordination. Even when stron…
Multifractal Signatures of Hamiltonian Chaos in Hyperion's Rotational Dynamics
S. Jaroszewicz, N. Mendez, Maria P. Beccar-Varela +1
The chaotic rotation of Saturn's moon Hyperion is a paradigmatic example of Hamiltonian chaos in a natural system. Although its tumbling motion is well established theoretically, i…
Causal Discovery for Explainable AI: A Dual-Encoding Approach
Henry Salgado, Meagan R. Kendall, Martine Ceberio
Understanding causal relationships among features is fundamental for explaining machine learning model decisions. However, traditional causal discovery methods face challenges with…
Differentially Private Synthetic Data Generation Using Context-Aware GANs
Anantaa Kotal, Anupam Joshi
The widespread use of big data across sectors has raised major privacy concerns, especially when sensitive information is shared or analyzed. Regulations such as GDPR and HIPAA imp…
Does the Model Say What the Data Says? A Simple Heuristic for Model Data Alignment
Henry Salgado, Meagan R. Kendall, Martine Ceberio
In this work, we propose a simple and computationally efficient framework for evaluating whether machine learning models align with the structure of the data they learn from; that…