Maheswaran Sathiamoorthy

32 papers A* 6A 3B 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	A*	`conf`	Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. SIGIR Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	J	`jnl`	Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. CoRR Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	A	`conf`	Tutorial on Recommendation with Generative Models (Gen-RecSys). WSDM Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	A*	`conf`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	J	`jnl`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	—	`conf`	Aligning Large Language Models with Recommendation Knowledge. NAACL-HLT (Findings) Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024	J	`jnl`	Aligning Large Language Models with Recommendation Knowledge. CoRR Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024	A	`conf`	Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. RecSys Anima Singh, Trung Vu, Nikhil Mehta, Raghunandan H. Keshavan, Maheswaran Sathiamoorthy, Yilin Zheng, Lichan Hong, Lukasz Heldt, Li Wei, Devansh Tandon, Ed H. Chi, Xinyang Yi
2024	J	`jnl`	Recommendation with Generative Models. CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2023	J	`jnl`	Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy
2023	J	`jnl`	Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	A*	`conf`	Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Recommender Systems with Generative Retrieval. CoRR 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
2022	J	`jnl`	Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi
2021	A*	`conf`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	J	`jnl`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2019	—	`conf`	Opportunities and Challenges Of Machine Learning Accelerators In Production. OpML Rajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy
2019	A	`conf`	Recommending what video to watch next: a multitask ranking system. RecSys Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
2014	J	`jnl`	Distributed Storage Codes Reduce Latency in Vehicular Networks. IEEE Trans. Mob. Comput. Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Bhaskar Krishnamachari, Fan Bai
2014	B	`conf`	Helper node allocation strategies for content dissemination in intermittently connected mobile networks. SECON Maheswaran Sathiamoorthy, Keyvan R. Moghadam, Bhaskar Krishnamachari, Fan Bai
2014	J	`jnl`	Optimizing Content Dissemination in Vehicular Networks with Radio Heterogeneity. IEEE Trans. Mob. Comput. Joon Ahn, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai, Lin Zhang
2013	—	`conf`	Short paper: Dynamic online storage allocation for multi-content dissemination in two-tier hybrid mobile vehicular networks. VNC Keyvan R. Moghadam, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Fan Bai
2013	J	`jnl`	XORing Elephants: Novel Erasure Codes for Big Data CoRR Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
2013	J	`jnl`	XORing Elephants: Novel Erasure Codes for Big Data. Proc. VLDB Endow. Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
2012	J	`jnl`	Analysis of Twitter Traffic based on Renewal Densities CoRR Javier Esteban, Antonio Ortega, Sean McPherson, Maheswaran Sathiamoorthy
2012	A*	`conf`	Backpressure with Adaptive Redundancy (BWAR). INFOCOM Majed Alresaini, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Michael J. Neely
2012	A*	`conf`	Distributed storage codes reduce latency in vehicular networks. INFOCOM Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Bhaskar Krishnamachari, Fan Bai
2012	—	`conf`	Minimum Latency Data Diffusion in Intermittently Connected Mobile Networks. VTC Spring Maheswaran Sathiamoorthy, Wei Gao, Bhaskar Krishnamachari, Guohong Cao
2011	J	`jnl`	Backpressure with Adaptive Redundancy (BWAR) CoRR Majed Alresaini, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Michael J. Neely
2009	—	`conf`	Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks. GSN Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoorthy, Bhaskar Krishnamachari, Antonio Ortega