3 papers
quant-ph2021
Noise-Assisted Variational Quantum Thermalization
Jonathan Foldager, Arthur Pesah, Lars Kai Hansen
Preparing thermal states on a quantum computer can have a variety of applications, from simulating many-body quantum systems to training machine learning models. Variational circui…
cs.CR2020
Minimal Model Structure Analysis for Input Reconstruction in Federated Learning
Jia Qian, Hiba Nassar, Lars Kai Hansen
\ac{fl} proposed a distributed \ac{ml} framework where every distributed worker owns a complete copy of global model and their own data. The training is occurred locally, which ass…
cs.CV2020
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline
Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
Our global population contributes visual content on platforms like Instagram, attempting to express themselves and engage their audiences, at an unprecedented and increasing rate.…