Scholar
Pete Warden
Google Scholar ID: VOWP8TUAAAAJ
PhD Student, Stanford University
Machine Learning
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Homepage
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Citations & Impact
All-time
Citations
53,102
H-index
32
i10-index
37
Publications
20
Co-authors
0
Contact
Twitter
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GitHub
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Publications
5 items
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
2026
Cited
0
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
2025
Cited
0
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
2024
Cited
0
Materiality and Risk in the Age of Pervasive AI Sensors
Nature Machine Intelligence · 2024
Cited
1
Datasheets for Machine Learning Sensors
arXiv.org · 2023
Cited
1
Resume (English only)
Academic Achievements
Selected Publications since 2010:
- Usenix 2016: TensorFlow: A System for Large-Scale Machine Learning
- Google 2016: TensorFlow: Large-scale machine learning on heterogeneous systems
- arXiv 2018: Speech commands: A dataset for limited-vocabulary speech recognition
- O'Reilly Media 2019: Tinyml: Machine learning with tensorflow lite on arduino and ultra-low-power microcontrollers
- MLSys 2021: TensorFlow lite micro: Embedded machine learning for tinyml systems
Education
PhD Student in Computer Science at Stanford University, Office: 452 Gates Hall, Stanford University, Stanford, CA, 94305.
Background
PhD Student in Computer Science at Stanford University, with research interests in large-scale machine learning systems.
Miscellany
Blogs at petewarden.com, On Twitter as @petewarden, Personal open source projects available at github.com/petewarden
Co-authors
0 total
Co-authors: 0 (list not available)
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