Jake Garrison

According to our database, Jake Garrison authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

Scaling Wearable Foundation Models.

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

CoRR, 2024

HeAR - Health Acoustic Representations.

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

CoRR, 2024

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning.

Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards Accurate Differential Diagnosis with Large Language Models.

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

CoRR, 2023

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals.

Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi

CoRR, 2023

2022

LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices.

Qiuyue Shirley Xue, D. Shin, Anupam Pathak, Jake Garrison, Jonathan Hsu, Mark Malhotra, Shwetak N. Patel

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

2021

FRILL: A Non-Semantic Speech Embedding for Mobile Devices.

Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

FUN! Fast, Universal, Non-Semantic Speech Embeddings.

Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel

CoRR, 2020

Whosecough: In-the-Wild Cougher Verification Using Multitask Learning.

Matt Whitehill, Jake Garrison, Shwetak N. Patel

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Varun Viswanath, Jake Garrison, Shwetak N. Patel

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Carpacio: Repurposing Capacitive Sensors to Distinguish Driver and Passenger Touches on In-Vehicle Screens.

Edward Jay Wang, Jake Garrison, Eric Whitmire, Mayank Goel, Shwetak N. Patel

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017