Koyel Mukherjee

According to our database, Koyel Mukherjee authored at least 26 papers between 2012 and 2024.

Collaborative distances:

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

2024

Towards Optimizing the Costs of LLM Usage.

Shivanshu Shekhar, Tanishq Dubey, Koyel Mukherjee, Apoorv Saxena, Atharv Tyagi, Nishanth Kotla

CoRR, 2024

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models.

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

To Store or Not to Store: a graph theoretical approach for Dataset Versioning.

Anxin Guo, Jingwei Li, Pattara Sukprasert, Samir Khuller, Amol Deshpande, Koyel Mukherjee

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

R2D2: Reducing Redundancy and Duplication in Data Lakes.

Raunak Shah, Koyel Mukherjee, Atharv Tyagi, Sai Keerthana Karnam, Dhruv Joshi, Shivam Pravin Bhosale, Subrata Mitra

Proc. ACM Manag. Data, December, 2023

Approximate Caching for Efficiently Serving Diffusion Models.

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini

CoRR, 2023

Flash: Concept Drift Adaptation in Federated Learning.

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan

Proceedings of the International Conference on Machine Learning, 2023

Towards Optimizing Storage Costs on the Cloud.

Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms.

Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas, Sanjay Agrawal

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2019

A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs.

Koyel Mukherjee, Alind Khare, Ashish Verma

CoRR, 2019

Layer Dynamics of Linearised Neural Nets.

Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan

CoRR, 2019

2018

Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing.

Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj

Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

2017

LP rounding and combinatorial algorithms for minimizing active and busy time.

Jessica Chang, Samir Khuller, Koyel Mukherjee

J. Sched., 2017

Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee.

Raja Subramaniam Thangaraj, Koyel Mukherjee, Gurulingesh Raravi, Asmita Metrewar, Narendra Annamaneni, Koushik Chattopadhyay

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Learning to Partition using Score Based Compatibilities.

Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Profit Optimization in Commercial Ridesharing.

Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness.

Ragavendran Gopalakrishnan, Koyel Mukherjee, Theja Tulabandhula

CoRR, 2016

TRaining AssigNment Service (TRANS) to Meet Organization Level Skill Need.

Atul Singh, Thangaraj Rajasubramaniam, Gurulingesh Raravi, Koyel Mukherjee, Partha Dutta, Koustuv Dasgupta

Proceedings of the Business Information Systems - 19th International Conference, 2016

2015

Fair Resource Allocation for Heterogeneous Tasks.

Koyel Mukherjee, Partha Dutta, Gurulingesh Raravi, Thangaraj Rajasubramaniam, Koustuv Dasgupta, Atul Singh

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart Cities.

Arpita Biswas, Deepthi Chander, Koustuv Dasgupta, Koyel Mukherjee, Mridula Singh, Tridib Mukherjee

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2013

Algorithmic Approaches to Reducing Resource Costs in Data Centers.

Koyel Mukherjee

PhD thesis, 2013

Brief announcement: a game-theoretic model motivated by the darpa network challenge.

Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Jonathan Katz, Koyel Mukherjee

Proceedings of the 25th ACM Symposium on Parallelism in Algorithms and Architectures, 2013

Algorithms for the Thermal Scheduling Problem.

Koyel Mukherjee, Samir Khuller, Amol Deshpande

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

To send or not to send: Reducing the cost of data transmission.

Leana Golubchik, Samir Khuller, Koyel Mukherjee, Yuan Yao

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Replica Placement via Capacitated Vertex Cover.

Sonika Arora, Venkatesan T. Chakaravarthy, Neelima Gupta, Koyel Mukherjee, Yogish Sabharwal

Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2013

2012

A Game-Theoretic Model Motivated by the DARPA Network Challenge

Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Jonathan Katz, Koyel Mukherjee

CoRR, 2012

Saving on cooling: the thermal scheduling problem.

Koyel Mukherjee, Samir Khuller, Amol Deshpande

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012