Tushar Kumar

According to our database, Tushar Kumar authored at least 16 papers between 2007 and 2026.

Collaborative distances:

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

2026

B-DENSE: Branching For Dense Ensemble Network Learning.

Cherish Puniani, Tushar Kumar, Arnav Bendre, Gaurav Kumar, Shree Singhi

CoRR, February, 2026

2025

Advanced Hydroponic Crop Management: A Smart IoT Architecture Leveraging Hybrid and Transformer-Based Deep Learning Models.

Tushar Kumar, Alavikunhu Panthakkan, Neha Tyagi, Monali Gulhane, Balamurugan Balusamy, Hussain Al-Ahmad

Proceedings of the 12th International Conference on Social Networks Analysis, 2025

2023

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control.

Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme

CoRR, 2023

2021

Grounding-Tracking-Integration.

Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jingsong Su, Jiebo Luo

IEEE Trans. Circuits Syst. Video Technol., 2021

Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.

Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning.

Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Grounding-Tracking-Integration.

Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jiebo Luo

CoRR, 2019

Characterizing Dominant Program Behavior Using the Execution-Time Variance of the Call Structure.

Tushar Kumar, Kangqi Ni, Santosh Pande

Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019

2017

Abstract Representation of Shared Data for Heterogeneous Computing.

Tushar Kumar, Aravind Natarajan, Wenjia Ruan, Mario Badr, Darío Suárez Gracia, Calin Cascaval

Proceedings of the Languages and Compilers for Parallel Computing, 2017

2016

Characterizing and controlling program behavior using execution-time variance.

Tushar Kumar

PhD thesis, 2016

2011

Efficiently speeding up sequential computation through the n-way programming model.

Romain Cledat, Tushar Kumar, Santosh Pande

Proceedings of the 26th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2011

Enriching 3-D Video Games on Multicores.

Romain Cledat, Tushar Kumar, Jaswanth Sreeram, Santosh Pande

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010

Dynamic tuning of feature set in highly variant interactive applications.

Tushar Kumar, Romain Cledat, Santosh Pande

Proceedings of the 10th International conference on Embedded software, 2010

2008

Statistically Analyzing Execution Variance for Soft Real-Time Applications.

Tushar Kumar, Romain Cledat, Jaswanth Sreeram, Santosh Pande

Proceedings of the Languages and Compilers for Parallel Computing, 2008

2007

A profile-driven statistical analysis framework for the design optimization of soft real-time applications.

Tushar Kumar, Jaswanth Sreeram, Romain Cledat, Santosh Pande

Proceedings of the 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2007

RSTM : A Relaxed Consistency Software Transactional Memory for Multicores.

Jaswanth Sreeram, Romain Cledat, Tushar Kumar, Santosh Pande

Proceedings of the 16th International Conference on Parallel Architectures and Compilation Techniques (PACT 2007), 2007