Maheswaran Sathiamoorthy

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Multitask Learning

Dirichlet Process

Recommender Systems

User Preferences

Top Venues

IEEE Trans. Mob. Comput.

Publications

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
Aligning Large Language Models with Recommendation Knowledge. CoRR (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR (2024)
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR (2023)
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD (2023)
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Recommender Systems with Generative Retrieval. CoRR (2023)
Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR (2023)
Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi
Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR (2022)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR (2021)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS (2021)
Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
Recommending what video to watch next: a multitask ranking system. RecSys (2019)
Rajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy
Opportunities and Challenges Of Machine Learning Accelerators In Production. OpML (2019)
Joon Ahn, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai, Lin Zhang
Optimizing Content Dissemination in Vehicular Networks with Radio Heterogeneity. IEEE Trans. Mob. Comput. 13 (6) (2014)
Maheswaran Sathiamoorthy, Keyvan R. Moghadam, Bhaskar Krishnamachari, Fan Bai
Helper node allocation strategies for content dissemination in intermittently connected mobile networks. SECON (2014)
Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Bhaskar Krishnamachari, Fan Bai
Distributed Storage Codes Reduce Latency in Vehicular Networks. IEEE Trans. Mob. Comput. 13 (9) (2014)
Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
XORing Elephants: Novel Erasure Codes for Big Data. Proc. VLDB Endow. 6 (5) (2013)
Keyvan R. Moghadam, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai
Short paper: Dynamic online storage allocation for multi-content dissemination in two-tier hybrid mobile vehicular networks. VNC (2013)
Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
XORing Elephants: Novel Erasure Codes for Big Data CoRR (2013)
Maheswaran Sathiamoorthy, Wei Gao, Bhaskar Krishnamachari, Guohong Cao
Minimum Latency Data Diffusion in Intermittently Connected Mobile Networks. VTC Spring (2012)
Majed Alresaini, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Michael J. Neely
Backpressure with Adaptive Redundancy (BWAR). INFOCOM (2012)
Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Bhaskar Krishnamachari, Fan Bai
Distributed storage codes reduce latency in vehicular networks. INFOCOM (2012)
Javier Esteban, Antonio Ortega, Sean McPherson, Maheswaran Sathiamoorthy
Analysis of Twitter Traffic based on Renewal Densities CoRR (2012)
Majed Alresaini, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Michael J. Neely
Backpressure with Adaptive Redundancy (BWAR) CoRR (2011)
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Antonio Ortega
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks. GSN (2009)