26 citations · 74 across the 10 of their papers we have counts for
10 papers
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han +1
Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics. To balance the trade-off between energy and execution…
All-order correlation of single excitons in nanocrystals using a envelope-function approach: application to lead-halide perovskites
S. A. Blundell, C. Guet
We discuss a variety of many-body approaches, within effective-mass and envelope-function formalisms, for calculating correlated single excitons in semi…
Deep self-consistent learning of local volatility
Zhe Wang, Ameir Shaa, Nicolas Privault +1
We present an algorithm for the calibration of local volatility from market option prices through deep self-consistent learning, by approximating both market option prices and loca…
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
Zhe Wang, Claude Guet
We introduce a self-consistent deep-learning framework which, for a noisy deterministic time series, provides unsupervised filtering, state-space reconstruction, identification of…
Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field
Zhe Wang, Claude Guet
Solving physics problems for which we know the equations, boundary conditions and symmetries can be done by deep learning. The constraints can be either imposed as terms in a loss…
One-photon absorption by inorganic perovskite nanocrystals: A theoretical study
T. P. T. Nguyen, S. A. Blundell, C. Guet
The one-photon absorption cross section of nanocrystals (NCs) of the inorganic perovskite CsPbBr is studied theoretically using a multiband envelo…