Shvetank Prakash

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 12

Top Topics

Machine Learning

Inductive Learning

Explanation Based Learning

Ibm Zenterprise

Top Venues

Publications

Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR (2023)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Commun. ACM 66 (11) (2023)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR (2023)
Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi
Datasheets for Machine Learning Sensors. CoRR (2023)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. ISPASS (2023)
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA (2023)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Want a faster ML processor? Do it yourself! DATE (2023)
Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. CoRR (2022)
Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR (2022)
Javier M. Duarte, Nhan Tran, Benjamin Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning. CoRR (2022)
Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS (2022)
Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi
Machine Learning Sensors. CoRR (2022)