معرفی
Nandi Schoots holds a Doctor of Philosophy (PhD) in Informatics. Her research focuses on artificial intelligence, neural networks, and language modeling. She actively contributes to conferences and workshops in the field. Recent work includes studies on activation steering in language models, feedforward networks, and sparse initialization techniques. She organized the Safe and Trustworthy AI Workshop 2022. Her research spans deep learning, machine learning, and optimization, with publications in AAAI and NeurIPS workshops.
- Key Research Areas: Deep Learning, Neural Networks, Language Modeling
- Recent Activities: Co-organizer of Safe and Trustworthy AI Workshop 2022
Her articles explore topics like contrastive learning and neuroevolutionary methods, reflecting a commitment to advancing AI ethics and model efficiency.
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