Richard Beanland

According to our database, Richard Beanland authored at least 4 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2020

Adaptive learning rate clipping stabilizes learning.

Jeffrey M. Ede, Richard Beanland

Mach. Learn. Sci. Technol., 2020

Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning.

Jeffrey M. Ede, Jonathan J. P. Peters, Jeremy Sloan, Richard Beanland

CoRR, 2020

2019

Partial Scan Electron Microscopy with Deep Learning.

Jeffrey M. Ede, Richard Beanland

CoRR, 2019

2015

Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy.

Dalia Chakrabarty, Nare Gabrielyan, Fabio Rigat, Richard Beanland, Shashi Paul

Technometrics, 2015