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- University of MichiganUS5 papers
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- Carnegie Mellon UniversityUS4 papers
- École de Technologie SupérieureCA4 papers
- University of Illinois Urbana-ChampaignUS4 papers
- General Motors (Poland)PL2 papers
- National Laboratory of the RockiesUS2 papers
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49 papers
Learning Agent-based Model Predictive Control for Holistic Vehicle Performance
Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani +4
Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, i…
Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
Ruo-Syuan Mei, Sixian Jia, Guangze Li +6
Machine learning, particularly deep learning, is transforming industrial quality inspection. Yet, training robust machine learning models typically requires large volumes of high-q…
Multiscale Modeling of Vacancy-Cluster Interactions and Solute Clustering Kinetics in Multicomponent Alloys
Zhucong Xi, Louis G. Hector, Amit Misra +1
Prediction of solute clustering kinetics in aged multicomponent alloys requires a quantitative understanding of complex vacancy-cluster interactions across multiple scales. Here, w…
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand +1
Deep Neural Networks (DNNs) are increasingly deployed across applications. However, ensuring their reliability remains a challenge, and in many situations, alternative models with…
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand +1
Deep Reinforcement Learning (DRL) has made significant advancements in various fields, such as autonomous driving, healthcare, and robotics, by enabling agents to learn optimal pol…
Observation of the Surface Layer of Lithium Metal using In Situ Spectroscopy
Ambrose Seo, Andrew Meyer, Sujan Shrestha +3
We have investigated the surface of lithium metal using x-ray photoemission spectroscopy and optical spectroscopic ellipsometry. Even if we prepare the surface of lithium metal rig…