Lovish Madaan

Hi, I'm Lovish! I am pursuing my PhD at AI at Meta and UCL NLP. I'm broadly interested in large language models, NLP, and machine learning.

In the past, I worked at Google Research India in the Machine Learning and Optimization Team with Prateek Jain and Srinadh Bhojanapalli on inference-efficient machine learning and natural language processing.

I graduated with a B.Tech and M.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi in 2020. I worked with Parag Singla, Sayan Ranu, and Aaditeshwar Seth on a variety of research projects during my time there.

My other interests include running, swimming, music, and lifting. I am a national-level swimmer and I wish to complete the Ironman Triathlon someday!

Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, and Prateek Jain
ICLR 2023
Google AI Blog Coverage

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health
Aditya Mate*, Lovish Madaan*, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, and Milind Tambe
AAAI 2022
MLPH Workshop, NeurIPS 2021. Best Paper Award
Google AI Blog Coverage

Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes
Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, and Milind Tambe
AASG Workshop, AAMAS 2021

Transfer Learning for Related Languages: Submissions to WMT20 Similar Language Translation Task
Lovish Madaan, Soumya Sharma, and Parag Singla
WMT, EMNLP 2020

GATCheck: A Detailed Analysis of Graph Attention Networks
Lovish Madaan* and Siddhant Arora*
MLG Workshop, KDD 2020

Price Forecasting & Anomaly Detection for Agricultural Commodities in India
Lovish Madaan, Ankur Sharma, Praneeth Khandelwal, Shivank Goel, Parag Singla, and Aaditeshwar Seth
COMPASS 2019

* - indicates equal contribution.