77 citations · 79 across the 7 of their papers we have counts for
7 papers
TSAgent: An Agentic Workflow for Autonomous Transition State Search
Varun Madhavan, Ankit Mathanker, Dean M. Sweeney +3
Identifying transition states (TSs) on potential energy surfaces is a central computational bottleneck in mechanistic studies of catalytic materials. A TS search is not a single ca…
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification
Cameron Gruich, Varun Madhavan, Yixin Wang +1
It is critical that machine learning (ML) model predictions be trustworthy for high-throughput catalyst discovery approaches. Uncertainty quantification (UQ) methods allow estimati…
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti
Agent-Based Models are very useful for simulation of physical or social processes, such as the spreading of a pandemic in a city. Such models proceed by specifying the behavior of…
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations
Ziming Liu, Varun Madhavan, Max Tegmark
We present a machine learning algorithm that discovers conservation laws from differential equations, both numerically (parametrized as neural networks) and symbolically, ensuring…
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi +2
We present the system description for our submission towards the Key Point Analysis Shared Task at ArgMining 2021. Track 1 of the shared task requires participants to develop metho…
Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction
Varun Madhavan, Aditya Girish Pawate, Shraman Pal +1
Cognitively inspired Natural Language Pro-cessing uses human-derived behavioral datalike eye-tracking data, which reflect the seman-tic representations of language in the humanbrai…
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
Gaurav Suryawanshi, Varun Madhavan, Adway Mitra +1
During the Covid-19 pandemic, most governments across the world imposed policies like lock-down of public spaces and restrictions on people's movements to minimize the spread of th…