5 citations · 14 across the 6 of their papers we have counts for
6 papers
Deep Learning Aided Rational Design of Oxide Glasses
R. Ravinder, Karthikeya H. Sreedhara, Suresh Bishnoi +5
Despite the extensive usage of oxide glasses for a few millennia, the composition-property relationships in these materials still remain poorly understood. While empirical and phys…
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
Mayank Sharma, Aayush Yadav, Sumit Soman +1
Deep neural networks are over-parameterized, which implies that the number of parameters are much larger than the number of samples used to train the network. Even in such a regime…
Examining Representational Similarity in ConvNets and the Primate Visual Cortex
Abhimanyu Dubey, Jayadeva, Sumeet Agarwal
We compare several ConvNets with different depth and regularization techniques with multi-unit macaque IT cortex recordings and assess the impact of the same on representational si…
Learning a Fuzzy Hyperplane Fat Margin Classifier with Minimum VC dimension
Jayadeva, Sanjit Singh Batra, Siddarth Sabharwal
The Vapnik-Chervonenkis (VC) dimension measures the complexity of a learning machine, and a low VC dimension leads to good generalization. The recently proposed Minimal Complexity…
Feature Selection through Minimization of the VC dimension
Jayadeva, Sanjit S. Batra, Siddharth Sabharwal
Feature selection involes identifying the most relevant subset of input features, with a view to improving generalization of predictive models by reducing overfitting. Directly sea…
Convergence results for continuous-time dynamics arising in ant colony optimization
Pierre-Alexandre Bliman, Amit Bhaya, Eugenius Kaszkurewicz +1
This paper studies the asymptotic behavior of several continuous-time dynamical systems which are analogs of ant colony optimization algorithms that solve shortest path problems. L…