Conference paper
Topological Data Analysis on Noisy Quantum Computers
Ismail Akhalwaya, Shashanka Ubaru, et al.
ICLR 2024
We propose a new neural network structure that is compatible with silicon technology. This network has the feature that the learning parameter is embodied in the thresholds of MOSFET devices and is local in character. The network is shown to be capable of forming associations by example as well as exhibiting the desirable features of the Hopfield type networks. © 1989.
Ismail Akhalwaya, Shashanka Ubaru, et al.
ICLR 2024
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saeel Sandeep Nachane, Ojas Gramopadhye, et al.
EMNLP 2024
Imran Nasim, Melanie Weber
SCML 2024