no code implementations • 23 Apr 2022 • Michael Y. -S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen
Moreover we show that Langevin dynamics lead to an efficient procedure for sampling from the posterior distribution in the 'L0 sparse' regime, where latent variables are encouraged to be set to zero as opposed to having a small L1 norm.
1 code implementation • 13 Dec 2019 • Michael Y. -S. Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Michael R. DeWeese
For the benefit of designing scalable, fault resistant optical neural networks (ONNs), we investigate the effects architectural designs have on the ONNs' robustness to imprecise components.
no code implementations • 5 Apr 2019 • Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y. -S. Fang, Nassir Navab
Model architectures have been dramatically increasing in size, improving performance at the cost of resource requirements.