3 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…