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ORCIDShyam A. Tailor
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2020 – today
- 2026
[i12]Daniel Roggen, Megan Walker, Yojan Patel, Shyam A. Tailor, Dimitris Spathis, Matt Wimmer, Brennan Garrett, Dan Howe, Abhinuv Pitale, Hamed Vavadi, Tien Le, Steve Diamond, Oleksiy Vyalov, Vik Sharma, Pete Richards, Tracy Giest, Erika Siegel, Tuan Phan, Sam Mravca, Derrick Vickers, Benjamin Stone, Katarina Vukosavljevic, Justin Phillips, YongSuk Cho, Stefanie Hollidge, Antony Siahaan, Soren Brage, Shwetak N. Patel, Robert Harle:
Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data. CoRR abs/2606.21436 (2026)- 2025
- [c8]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff:
Scaling Wearable Foundation Models. ICLR 2025 - [i11]Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff:
LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR abs/2506.05321 (2025) - 2024
- [i10]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam A. Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - [i9]Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam A. Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu:
Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR abs/2406.06464 (2024) - [i8]Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam A. Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez
, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - [i7]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff:
Scaling Wearable Foundation Models. CoRR abs/2410.13638 (2024) - 2022
- [b1]Shyam A. Tailor:
Practical processing and acceleration of graph neural networks. University of Cambridge, UK, 2022 - [c7]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. ICLR 2022 - [c6]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane:
Do We Need Anisotropic Graph Neural Networks? ICLR 2022 - [i6]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. CoRR abs/2202.08132 (2022) - 2021
- [c5]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. ICCVW 2021: 2095-2104 - [c4]Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. ICLR 2021 - [i5]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane:
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. CoRR abs/2104.01481 (2021) - [i4]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. CoRR abs/2108.06317 (2021) - 2020
- [c3]Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo:
A first step towards on-device monitoring of body sounds in the wild. UbiComp/ISWC Adjunct 2020: 708-712 - [c2]Catherine Tong, Shyam A. Tailor, Nicholas D. Lane:
Are Accelerometers for Activity Recognition a Dead-end? HotMobile 2020: 39-44 - [i3]Catherine Tong, Shyam A. Tailor, Nicholas D. Lane:
Are Accelerometers for Activity Recognition a Dead-end? CoRR abs/2001.08111 (2020) - [i2]Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR abs/2008.05000 (2020) - [i1]Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo:
A First Step Towards On-Device Monitoring of Body Sounds in the Wild. CoRR abs/2008.05370 (2020)
2010 – 2019
- 2018
- [c1]Augustin Zídek, Shyam A. Tailor, Robert Harle:
Bellrock: Anonymous Proximity Beacons From Personal Devices. PerCom 2018: 1-10
Coauthor Index
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last updated on 2026-07-10 01:12 CEST by the dblp team
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