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2020 – today
- 2023
[c4]Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke
, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara:
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. High Performance Computing for Imaging 2023: 1-6- [i4]Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara:
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources. CoRR abs/2304.04297 (2023) - 2022
- [i3]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:
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022) - 2020
- [i2]Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran:
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks. CoRR abs/2008.02189 (2020)
2010 – 2019
- 2018
- [j1]Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran:
Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics. Neurocomputing 321: 227-236 (2018) - [c3]Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran:
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN 2018: 240-251 - 2017
- [c2]Anakha V. Babu, Bipin Rajendran:
Stochastic deep learning in memristive networks. ICECS 2017: 214-217 - [c1]Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran:
Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS 2017: 426-431 - [i1]Anakha V. Babu, Bipin Rajendran:
Stochastic Deep Learning in Memristive Networks. CoRR abs/1711.03640 (2017)
Coauthor Index
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