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2020 – today
- 2025
[i9]Elzbieta Gruzewska, Pooja Rao, Sebastien Baur, Matthew Baugh, Mathias M. J. Bellaiche, Sharanya Srinivas, Octavio Ponce, Matthew Thompson, Pramod Rudrapatna, Michael A. Sanchez, Lawrence Z. Cai, Timothy JA Chico, Robert F. Storey, Emily Maz, Umesh Telang, Shravya Shetty, Mayank Daswani
:
UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach. CoRR abs/2507.14195 (2025)- 2024
- [i8]Abbi Ward, Jimmy Li, Julie Wang, Sriram Lakshminarasimhan, Ashley Carrick, Bilson J. L. Campana, Jay Hartford, Pradeep Kumar S, Tiya Tiyasirichokchai, Sunny Virmani, Renee Wong, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Dawn Siegel, Steven Lin, Justin Ko, Alan Karthikesalingam, Christopher Semturs, Pooja Rao:
Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. CoRR abs/2402.18545 (2024) - [i7]Zohim Chandani, Kazuki Ikeda, Zhong-Bo Kang, Dmitri E. Kharzeev, Alexander McCaskey, Andrea Palermo, C. R. Ramakrishnan, Pooja Rao, Ranjani G. Sundaram, Kwangmin Yu:
Efficient charge-preserving excited state preparation with variational quantum algorithms. CoRR abs/2410.14357 (2024) - [i6]Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Navid Anjum Aadit, Yuri Alexeev, Kirk M. Bresniker, Kerem Yunus Çamsari, Barbara M. Chapman, Soumitra Chatterjee, Gebremedhin A. Dagnew, Aniello Esposito, Farah Fahim, Marco Fiorentino, Archit Gajjar, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, Paul Aaron Lott, Igor L. Markov, Robert F. McDermott, Giacomo Pedretti, Pooja Rao, Eleanor Gilbert Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis:
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. CoRR abs/2411.10406 (2024) - 2023
- [c1]Zitha Sasindran, Harsha Yelchuri, Prabhakar Venkata Tamma, Pooja Rao:
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones. AIMLSystems 2023: 20:1-20:11 - [i5]Zitha Sasindran, Harsha Yelchuri, Pooja Rao, T. V. Prabhakar:
MobileASR: A resource-aware on-device personalisation framework for automatic speech recognition in mobile phones. CoRR abs/2306.09384 (2023) - 2022
- [i4]Haim Horowitz, Pooja Rao, Santosh Kumar Radha:
A quantum generative model for multi-dimensional time series using Hamiltonian learning. CoRR abs/2204.06150 (2022) - 2021
- [j1]Kun Zhang, Pooja Rao, Kwangmin Yu, Hyun-Kyung Lim, Vladimir E. Korepin:
Implementation of efficient quantum search algorithms on NISQ computers. Quantum Inf. Process. 20(7): 1-27 (2021) - [i3]Zitha Sasindran, Raghavendra Rao Suresh, Pooja Rao, T. V. Prabhakar:
Training end-to-end speech-to-text models on mobile phones. CoRR abs/2112.03871 (2021)
2010 – 2019
- 2018
- [i2]Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G. Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier:
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans. CoRR abs/1803.05854 (2018) - [i1]Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Justy Antony Chiramal, Shalini Govil, Namita Sinha, Manjunath KS, Sundeep Reddivari, Pooja Rao, Prashant Warier:
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 1.2 Million X-Rays. CoRR abs/1807.07455 (2018)
Coauthor Index
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