Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Stochastic bilevel optimization (SBO) is becoming increasingly essential in machine learning due to its versatility in handling nested structures. To address large-scale SBO, decentralized ...

Abstract: We use a closed-loop algorithm to accurately program hafnium zirconium oxide (HZO) ferroelectric tunnel junctions (FTJs) to arbitrary chosen target conductance values. The key enabler is ...

ADoTA is a deep learning-based algorithm for fast and accurate dose prediction in proton therapy. The model uses a transformer architecture combined with 3D convolutional encoders and decoders to ...