Koyel Mukherjee

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Shivanshu Shekhar, Tanishq Dubey, Koyel Mukherjee, Apoorv Saxena, Atharv Tyagi, Nishanth Kotla
Towards Optimizing the Costs of LLM Usage. CoRR (2024)
Anxin Guo, Jingwei Li, Pattara Sukprasert, Samir Khuller, Amol Deshpande, Koyel Mukherjee
To Store or Not to Store: a graph theoretical approach for Dataset Versioning. CoRR (2024)
Anxin Guo, Jingwei Li, Pattara Sukprasert, Samir Khuller, Amol Deshpande, Koyel Mukherjee
To Store or Not to Store: a graph theoretical approach for Dataset Versioning. IPDPS (2024)
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. NSDI (2024)
Raunak Shah, Koyel Mukherjee, Atharv Tyagi, Sai Keerthana Karnam, Dhruv Joshi, Shivam Pravin Bhosale, Subrata Mitra
R2D2: Reducing Redundancy and Duplication in Data Lakes. CoRR (2023)
Raunak Shah, Koyel Mukherjee, Atharv Tyagi, Sai Keerthana Karnam, Dhruv Joshi, Shivam Pravin Bhosale, Subrata Mitra
R2D2: Reducing Redundancy and Duplication in Data Lakes. Proc. ACM Manag. Data 1 (4) (2023)
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan
Towards Optimizing Storage Costs on the Cloud. ICDE (2023)
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan
Towards Optimizing Storage Costs on the Cloud. CoRR (2023)
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
Approximate Caching for Efficiently Serving Diffusion Models. CoRR (2023)
Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan
Flash: Concept Drift Adaptation in Federated Learning. ICML (2023)
Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas, Sanjay Agrawal
ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms. COMAD/CODS (2022)
Koyel Mukherjee, Alind Khare, Ashish Verma
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. CoRR (2019)
Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan
Layer Dynamics of Linearised Neural Nets. CoRR (2019)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. ATT@IJCAI (2018)
Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
Learning to Partition using Score Based Compatibilities. CoRR (2017)
Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
Learning to Partition using Score Based Compatibilities. AAMAS (2017)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam
Profit Optimization in Commercial Ridesharing. AAMAS (2017)
Raja Subramaniam Thangaraj, Koyel Mukherjee, Gurulingesh Raravi, Asmita Metrewar, Narendra Annamaneni, Koushik Chattopadhyay
Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee. ICDE (2017)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. CoRR (2017)
Jessica Chang, Samir Khuller, Koyel Mukherjee
LP rounding and combinatorial algorithms for minimizing active and busy time. J. Sched. 20 (6) (2017)
Ragavendran Gopalakrishnan, Koyel Mukherjee, Theja Tulabandhula
The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness. CoRR (2016)
Jessica Chang, Samir Khuller, Koyel Mukherjee
LP Rounding and Combinatorial Algorithms for Minimizing Active and Busy Time. CoRR (2016)
Atul Singh, Thangaraj Rajasubramaniam, Gurulingesh Raravi, Koyel Mukherjee, Partha Dutta, Koustuv Dasgupta
TRaining AssigNment Service (TRANS) to Meet Organization Level Skill Need. BIS (2016)
Arpita Biswas, Deepthi Chander, Koustuv Dasgupta, Koyel Mukherjee, Mridula Singh, Tridib Mukherjee
PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart Cities. HCOMP (2015)
Koyel Mukherjee, Partha Dutta, Gurulingesh Raravi, Thangaraj Rajasubramaniam, Koustuv Dasgupta, Atul Singh
Fair Resource Allocation for Heterogeneous Tasks. IPDPS (2015)
Jessica Chang, Samir Khuller, Koyel Mukherjee
LP rounding and combinatorial algorithms for minimizing active and busy time. SPAA (2014)
Sonika Arora, Venkatesan T. Chakaravarthy, Neelima Gupta, Koyel Mukherjee, Yogish Sabharwal
Replica Placement via Capacitated Vertex Cover. FSTTCS (2013)
Koyel Mukherjee, Samir Khuller, Amol Deshpande
Algorithms for the Thermal Scheduling Problem. IPDPS (2013)
Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Jonathan Katz, Koyel Mukherjee
Brief announcement: a game-theoretic model motivated by the darpa network challenge. SPAA (2013)
Leana Golubchik, Samir Khuller, Koyel Mukherjee, Yuan Yao
To send or not to send: Reducing the cost of data transmission. INFOCOM (2013)
Koyel Mukherjee, Samir Khuller, Amol Deshpande
Saving on cooling: the thermal scheduling problem. SIGMETRICS (2012)
Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Jonathan Katz, Koyel Mukherjee
A Game-Theoretic Model Motivated by the DARPA Network Challenge CoRR (2012)

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Publication Activity (10 Years)

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Koyel Mukherjee