Anakha V. Babu

According to our database, Anakha V. Babu authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.

Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara

Proceedings of the High Performance Computing for Imaging 2023, 2023

2022

Deep learning at the edge enables real-time streaming ptychographic imaging.

Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

CoRR, 2022

2020

SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks.

Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran

CoRR, 2020

2018

Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics.

Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran

Neurocomputing, 2018

Acceleration of Convolutional Networks Using Nanoscale Memristive Devices.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the Engineering Applications of Neural Networks, 2018

2017

Spiking neural networks - Algorithms, hardware implementations and applications.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Stochastic deep learning in memristive networks.

Anakha V. Babu, Bipin Rajendran

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017