Tushar Kumar

18 papers A* 1A 3B 1Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
B-DENSE: Branching For Dense Ensemble Network Learning.
CoRR
Cherish Puniani, Tushar Kumar, Arnav Bendre, Gaurav Kumar, Shree Singhi
2025 — conf
Advanced Hydroponic Crop Management: A Smart IoT Architecture Leveraging Hybrid and Transformer-Based Deep Learning Models.
SNAMS
Tushar Kumar, Alavikunhu Panthakkan, Neha Tyagi, Monali Gulhane, Balamurugan Balusamy, Hussain Al-Ahmad
2023 J jnl
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control.
CoRR
Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme
2021 Misc conf
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.
CoRL
Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
2021 J jnl
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.
CoRR
Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
2021 J jnl
Grounding-Tracking-Integration.
IEEE Trans. Circuits Syst. Video Technol.
Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jingsong Su, Jiebo Luo
2020 A* conf
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning.
ICML
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
2020 J jnl
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning.
CoRR
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
2019 A conf
Characterizing Dominant Program Behavior Using the Execution-Time Variance of the Call Structure.
RTAS
Tushar Kumar, Kangqi Ni, Santosh Pande
2019 J jnl
Grounding-Tracking-Integration.
CoRR
Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jiebo Luo
2017 — conf
Abstract Representation of Shared Data for Heterogeneous Computing.
LCPC
Tushar Kumar, Aravind Natarajan, Wenjia Ruan, Mario Badr, Darío Suárez Gracia, Calin Cascaval
2016 — —
Characterizing and controlling program behavior using execution-time variance.
Tushar Kumar
2011 A conf
Efficiently speeding up sequential computation through the n-way programming model.
OOPSLA
Romain Cledat, Tushar Kumar, Santosh Pande
2011 A conf
Enriching 3-D Video Games on Multicores.
IPDPS
Romain Cledat, Tushar Kumar, Jaswanth Sreeram, Santosh Pande
2010 Misc conf
Dynamic tuning of feature set in highly variant interactive applications.
EMSOFT
Tushar Kumar, Romain Cledat, Santosh Pande
2008 — conf
Statistically Analyzing Execution Variance for Soft Real-Time Applications.
LCPC
Tushar Kumar, Romain Cledat, Jaswanth Sreeram, Santosh Pande
2007 — conf
A profile-driven statistical analysis framework for the design optimization of soft real-time applications.
ESEC/SIGSOFT FSE
Tushar Kumar, Jaswanth Sreeram, Romain Cledat, Santosh Pande
2007 B conf
RSTM : A Relaxed Consistency Software Transactional Memory for Multicores.
PACT
Jaswanth Sreeram, Romain Cledat, Tushar Kumar, Santosh Pande