activity
20222026
most citedMaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models

3 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

All you need is SAMPAT

Jayadeva, Madhur Aswani

The current state of the art in AI/ML rests on deep neural architectures, which, in general, suffer from a lack of interpretability. Interpretability is crucial to gleaning insight…

cs.LG2025

On the Equivalence of Regression and Classification

Jayadeva, Naman Dwivedi, Hari Krishnan +1

A formal link between regression and classification has been tenuous. Even though the margin maximization term is used in support vector regression, it has at best been jus…

cs.CL2023★ 3 cited

MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models

Mohd Zaki, Jayadeva, Mausam +1

Information extraction and textual comprehension from materials literature are vital for developing an exhaustive knowledge base that enables accelerated materials discovery. Langu…

cs.LG2023

Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks

Suresh Bishnoi, Ravinder Bhattoo, Jayadeva +2

The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derive…

cs.LG2023

Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics

Suresh Bishnoi, Jayadeva, Sayan Ranu +1

Neural networks (NNs) that exploit strong inductive biases based on physical laws and symmetries have shown remarkable success in learning the dynamics of physical systems directly…

cs.CV2022

Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images

Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar +3

Cement is the most used construction material. The performance of cement hydrate depends on the constituent phases, viz. alite, belite, aluminate, and ferrites present in the cemen…

cs.LG2022

HybMT: Hybrid Meta-Predictor based ML Algorithm for Fast Test Vector Generation

Shruti Pandey, Jayadeva, Smruti R. Sarangi

ML models are increasingly being used to increase the test coverage and decrease the overall testing time. This field is still in its nascent stage and up till now there were no al…