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Conference and Workshop Papers
- 2024
[c6]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. EMNLP 2024: 11712-11733- 2022
- [c5]Qiuyue Shirley Xue, D. Shin, Anupam Pathak, Jake Garrison, Jonathan Hsu, Mark Malhotra, Shwetak N. Patel:
LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices. PerCom 2022: 164-171 - 2021
- [c4]Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel:
FRILL: A Non-Semantic Speech Embedding for Mobile Devices. Interspeech 2021: 1204-1208 - 2020
- [c3]Matt Whitehill, Jake Garrison, Shwetak N. Patel:
Whosecough: In-the-Wild Cougher Verification Using Multitask Learning. ICASSP 2020: 896-900 - 2018
- [c2]Varun Viswanath, Jake Garrison, Shwetak N. Patel:
SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning. EMBC 2018: 5499-5502 - 2017
- [c1]Edward Jay Wang
, Jake Garrison, Eric Whitmire, Mayank Goel, Shwetak N. Patel:
Carpacio: Repurposing Capacitive Sensors to Distinguish Driver and Passenger Touches on In-Vehicle Screens. UIST 2017: 49-55
Informal and Other Publications
- 2024
- [i6]Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila:
HeAR - Health Acoustic Representations. CoRR abs/2403.02522 (2024) - [i5]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR abs/2406.12830 (2024) - [i4]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam 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) - 2023
- [i3]Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi:
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. CoRR abs/2309.05843 (2023) - [i2]Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan:
Towards Accurate Differential Diagnosis with Large Language Models. CoRR abs/2312.00164 (2023) - 2020
- [i1]Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel:
FUN! Fast, Universal, Non-Semantic Speech Embeddings. CoRR abs/2011.04609 (2020)
Coauthor Index
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last updated on 2024-11-26 21:46 CET by the dblp team
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