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Anakha V. Babu
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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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