March 21, 2024, 4:43 a.m. | M. Cerezo, Martin Larocca, Diego Garc\'ia-Mart\'in, N. L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.09121v2 Announce Type: replace-cross
Abstract: A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and ask a question that has been hinted at by many but not explicitly addressed: Can the structure that allows one to avoid barren plateaus also be leveraged to efficiently simulate the loss classically? We present strong evidence that commonly used models with provable absence of barren …

abstract article arxiv computing cs.lg face imply perspective quant-ph quantum quantum computing question room stat.ml type understanding

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

RL Analytics - Content, Data Science Manager

@ Meta | Burlingame, CA

Research Engineer

@ BASF | Houston, TX, US, 77079