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cs.CE2024★ 5 cited
ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
Feiyang Cai, Katelin Zacour, Tianyu Zhu +6
Traditional AI methods often rely on task-specific model designs and training, which constrain both the scalability of model size and generalization across different tasks. Here, w…
cs.LG2024
Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling
Feiyang Cai, Chuchu Fan, Stanley Bak
Verifying safety of neural network control systems that use images as input is a difficult problem because, from a given system state, there is no known way to mathematically model…