Manjunath Kudlur

Computer Science · Physical Sciences

23h-index27.4kcitations43works0.82yr avg
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Research Topics

Parallel Computing and Optimization Techniques(28), Embedded Systems Design Techniques(19), Interconnection Networks and Systems(17), Topic Modeling(4), Natural Language Processing Techniques(4)

Publications43 total

Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
ArXiv.org·2026Open Access
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
arXiv (Cornell University)·2026Open Access
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
arXiv (Cornell University)·2025Open Access
Moonshine: Speech Recognition for Live Transcription and Voice Commands
arXiv (Cornell University)·2024Open Access
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
arXiv (Cornell University)·2024· 4 citedOpen Access
SymbioticLab/tensorflow-salus: Release code for MLSys20
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Proceedings of the First Workshop on NLP for Conversational AI
2019· 6 citedOpen Access
Proceedings of the Workshop on Machine Reading for Question Answering
2018· 3 citedOpen Access
Exploring the structure of a real-time, arbitrary neural artistic\n stylization network
arXiv (Cornell University)·2017· 3 citedOpen Access
Proceedings of the First Workshop on Subword and Character Level Models in NLP
2017· 48 citedOpen Access
Exploring the structure of a real-time, arbitrary neural artistic stylization network
2017· 38 citedOpen Access
TensorFlow: a system for large-scale machine learning
Operating Systems Design and Implementation·2016· 6.3k cited
A Learned Representation For Artistic Style
arXiv (Cornell University)·2016· 171 citedOpen Access
A Learned Representation For Artistic Style
arXiv (Cornell University)·2016· 749 citedOpen Access
TensorFlow: A system for large-scale machine learning
arXiv (Cornell University)·2016· 8.8k citedOpen Access
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
arXiv (Cornell University)·2016· 9.7k citedOpen Access
Order Matters: Sequence to sequence for sets
arXiv (Cornell University)·2015· 184 citedOpen Access
Designing a unified programming model for heterogeneous machines
IEEE International Conference on High Performance Computing, Data, and Analytics·2012· 37 cited
Designing a unified programming model for heterogeneous machines
2012 International Conference for High Performance Computing, Networking, Storage and Analysis·2012· 24 cited
CUDA: Compiling and optimizing for a GPU platform
Procedia Computer Science·2012· 21 citedOpen Access
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Frequent Co-authors

Scott Mahlke(21), Pete Warden(10), Jonathon Shlens(8), Kevin Fan(8), Geoffrey Irving(7), Derek G. Murray(7), Benoit Steiner(7), Martı́n Abadi(6), Paul Barham(6), Andy Davis(6), Matthieu Devin(6), Sanjay Ghemawat(6), Michael Isard(6), Josh Levenberg(6), Rajat Monga(6), Sherry Moore(6), Paul A. Tucker(6), Zhifeng Chen(5), Andrew Harp(5), Vijay Vasudevan(5)