The SuReLI blogWorks accepted at AutoML
At AutoML 2023, the workshop-track paper entitled “Neural Growth and Pruning in Dynamic Learning Environments” and the journal-track paper entitled “Structural Learning in Artificial Neural Networks: A Neural Operator Perspective” (TMLR) have both been accepted! Both were co-authored by Kaitlin, Hervé Luga, and Dennis.