Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. - Manav Nitin Kapadnis; Sohan Patnaik; Siba Smarak Panigrahi; Varun Madhavan; Abhilash Nandy (ArgMining@EMNLP, 2021)

City-Scale Simulation of Covid-19 Pandemic & Intervention Policies Using Agent-Based Modelling. - Gaurav Suryawanshi; Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (WSC, 2021)

City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling. - Gaurav Suryawanshi; Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (CoRR, 2021)

Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction. - Varun Madhavan; Aditya Girish Pawate; Shraman Pal; Abhranil Chandra (CoRR, 2021)

AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations. - Ziming Liu; Varun Madhavan; Max Tegmark (CoRR, 2022)

Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer. - P. Aditya Sreekar; Sahil Verma 001; Varun Madhavan; Abhishek Persad (ACML, 2023)

Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City. - Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (AAMAS, 2023)

Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification. - Cameron J. Gruich; Varun Madhavan; Yixin Wang 002; Bryan R. Goldsmith (Mach. Learn. Sci. Technol., 2023)

Self-supervised Pretraining for Partial Differential Equations. - Varun Madhavan; Amal S. Sebastian; Bharath Ramsundar; Venkatasubramanian Viswanathan (CoRR, 2024)