Srivatsan Krishnan

According to our database1, Srivatsan Krishnan authored at least 21 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning.
Trans. Mach. Learn. Res., 2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration.
CoRR, 2022

Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles.
Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency.
ACM Trans. Comput. Syst., 2021

Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation.
Mach. Learn., 2021

AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots.
CoRR, 2021

Widening Access to Applied Machine Learning with TinyML.
CoRR, 2021

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots.
CoRR, 2021

RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads.
Proceedings of Machine Learning and Systems 2021, 2021

Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines.
IEEE Comput. Archit. Lett., 2020

2019
Quantized Reinforcement Learning (QUARL).
CoRR, 2019

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller.
CoRR, 2019

The Role of Compute in Autonomous Aerial Vehicles.
CoRR, 2019

Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots.
CoRR, 2019

MAVBench: Micro Aerial Vehicle Benchmarking.
CoRR, 2019

2018
MAVBench: Micro Aerial Vehicle Benchmarking.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

1995
2D feature tracking algorithm for motion analysis.
Pattern Recognit., 1995


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