Maxwell A. Xu

According to our database, Maxwell A. Xu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications across Lab and Field Settings.

Mithun Saha, Maxwell A. Xu, Wanting Mao, Sameer Neupane, James M. Rehg, Santosh Kumar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025

SensorLM: Learning the Language of Wearable Sensors.

Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

CoRR, June, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu

CoRR, June, 2025

LSM-2: Learning from Incomplete Wearable Sensor Data.

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

CoRR, June, 2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.

Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour

CoRR, February, 2025

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data.

Maxwell A. Xu, Jaya Narain, Gregory Darnell, Haraldur Tómas Hallgrímsson, Hyewon Jeong, Darren Forde, Richard Andres Fineman, Karthik Jayaraman Raghuram, James Matthew Rehg, Shirley You Ren

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

PyPulse: A Python Library for Biosignal Imputation.

Kevin Gao, Maxwell A. Xu, James M. Rehg, Alexander Moreno

CoRR, 2024

Towards Time Series Reasoning with LLMs.

Winnie Chow, Lauren Gardiner, Haraldur Tómas Hallgrímsson, Maxwell A. Xu, Shirley You Ren

CoRR, 2024

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning.

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation.

Hui Wei, Maxwell A. Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin M. Marlin

Proceedings of the Conference on Health, 2024

2023

Retrieval-Based Reconstruction For Time-series Contrastive Learning.

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg

CoRR, 2023

2022

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation.

Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling.

Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg

CoRR, 2021