2 papers
cs.LG2026
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
Xiaojie Gu, Dmitry Ignatov, Radu Timofte
Neural Architecture Search (NAS) automates network design, but conventional methods demand substantial computational resources. We propose a closed-loop pipeline leveraging large l…
cs.LG2025
Exploring the Relationship between Brain Hemisphere States and Frequency Bands through Classical Machine Learning and Deep Learning Optimization Techniques with Neurofeedback
Robiul Islam, Dmitry I. Ignatov, Karl Kaberg +1
This study investigates the performance of classifiers across EEG frequency bands, evaluating efficient class prediction for the left and right hemispheres using various optimisers…