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cs.LG2025
MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding
Mengchun Zhang, Kateryna Shapovalenko, Yucheng Shao +2
Neural decoding from electroencephalography (EEG) remains fundamentally limited by poor generalization to unseen subjects, driven by high inter-subject variability and the lack of…
cs.LG2025
Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation
Austin A. Barr, Robert Rozman, Eddie Guo
We propose a new framework for zero-shot generation of synthetic tabular data. Using the large language model (LLM) GPT-4o and plain-language prompting, we demonstrate the ability…