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cs.LG2024
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco +10
Trust and interpretability are crucial for the use of Artificial Intelligence (AI) in scientific research, but current models often operate as black boxes offering limited transpar…
cs.LG2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
Lingkai Kong, Yuanqi Du, Wenhao Mu +8
Addressing real-world optimization problems becomes particularly challenging when analytic objective functions or constraints are unavailable. While numerous studies have addressed…