Maheswaran Sathiamoorthy

According to our database, Maheswaran Sathiamoorthy authored at least 17 papers between 2009 and 2023.

Collaborative distances:

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

2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.

Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy

CoRR, 2023

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

CoRR, 2023

Recommender Systems with Generative Retrieval.

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Training Stability for Multitask Ranking Models in Recommender Systems.

Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Algorithms for Efficiently Learning Low-Rank Neural Networks.

Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi

CoRR, 2022

2021

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.

Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Recommending what video to watch next: a multitask ranking system.

Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Opportunities and Challenges Of Machine Learning Accelerators In Production.

Rajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

2014

Distributed Storage Codes Reduce Latency in Vehicular Networks.

Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Bhaskar Krishnamachari, Fan Bai

IEEE Trans. Mob. Comput., 2014

Optimizing Content Dissemination in Vehicular Networks with Radio Heterogeneity.

Joon Ahn, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai, Lin Zhang

IEEE Trans. Mob. Comput., 2014

Helper node allocation strategies for content dissemination in intermittently connected mobile networks.

Maheswaran Sathiamoorthy, Keyvan R. Moghadam, Bhaskar Krishnamachari, Fan Bai

Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

2013

XORing Elephants: Novel Erasure Codes for Big Data.

Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur

Proc. VLDB Endow., 2013

Short paper: Dynamic online storage allocation for multi-content dissemination in two-tier hybrid mobile vehicular networks.

Keyvan R. Moghadam, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai

Proceedings of the 2013 IEEE Vehicular Networking Conference, 2013

2012

Analysis of Twitter Traffic based on Renewal Densities

Javier Esteban, Antonio Ortega, Sean McPherson, Maheswaran Sathiamoorthy

CoRR, 2012

Minimum Latency Data Diffusion in Intermittently Connected Mobile Networks.

Maheswaran Sathiamoorthy, Wei Gao, Bhaskar Krishnamachari, Guohong Cao

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

Backpressure with Adaptive Redundancy (BWAR).

Majed Alresaini, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Michael J. Neely

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2009

Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks.

Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Antonio Ortega

Proceedings of the GeoSensor Networks, Third International Conference, 2009