Nithin Nagaraj | DeepAI

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Featured Co-authors

Snehanshu Saha
22 publications
Rahul Yedida
13 publications
Aditi Kathpalia
6 publications
Archana Mathur
6 publications
Harikrishnan N B
4 publications
Harikrishnan NB
3 publications
Pranay SY
2 publications
Keerti P. Charantimath
1 publication
Rajan Sahu
1 publication
Shivam Chadha
1 publication
Deeksha Sethi
1 publication

∙ 09/20/2023

Compression Spectrum: Where Shannon meets Fourier

Signal processing and Information theory are two disparate fields used f...

0 Aditi Kathpalia, et al. ∙

∙ 08/19/2023

To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks

Reducing the size of a neural network (pruning) by removing weights with...

0 Rajan Sahu, et al. ∙

∙ 07/05/2023

Kolam Simulation using Angles at Lattice Points

Kolam is a ritual art form practised by people in South India and consis...

0 Tulasi Bharathi, et al. ∙

∙ 06/05/2023

Permutation Decision Trees

Decision Tree is a well understood Machine Learning model that is based ...

0 Harikrishnan N B, et al. ∙

∙ 09/23/2022

Granger Causality for Compressively Sensed Sparse Signals

Compressed sensing is a scheme that allows for sparse signals to be acqu...

0 Aditi Kathpalia, et al. ∙

∙ 04/20/2022

Neurochaos Feature Transformation and Classification for Imbalanced Learning

Learning from limited and imbalanced data is a challenging problem in th...

0 Deeksha Sethi, et al. ∙

∙ 01/28/2022

Cause-Effect Preservation and Classification using Neurochaos Learning

Discovering cause-effect from observational data is an important but cha...

0 Harikrishnan N B, et al. ∙

∙ 12/06/2021

Learning Generalized Causal Structure in Time-series

The science of causality explains/determines 'cause-effect' relationship...

0 Aditi Kathpalia, et al. ∙

∙ 10/24/2021

Problems with information theoretic approaches to causal learning

The language of information theory is favored in both causal reasoning a...

0 Nithin Nagaraj, et al. ∙

∙ 09/24/2021

Causal Analysis of Carnatic Music: A Preliminary Study

The musicological analysis of Carnatic music is challenging, owing to it...

0 Abhsihek Nandekar, et al. ∙

∙ 02/02/2021

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning

Chaos and Noise are ubiquitous in the Brain. Inspired by the chaotic fir...

0 Harikrishnan NB, et al. ∙

∙ 10/19/2020

Causal Discovery using Compression-Complexity Measures

Causal inference is one of the most fundamental problems across all doma...

0 Pranay SY, et al. ∙

∙ 10/12/2020

A Neurochaos Learning Architecture for Genome Classification

There has been empirical evidence of presence of non-linearity and chaos...

0 Harikrishnan NB, et al. ∙

∙ 10/19/2019

Measuring Causality: The Science of Cause and Effect

Determining and measuring cause-effect relationships is fundamental to m...

0 Aditi Kathpalia, et al. ∙

∙ 10/06/2019

ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification

Inspired by chaotic firing of neurons in the brain, we propose ChaosNet ...

0 Harikrishnan NB, et al. ∙

∙ 06/01/2019

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets

We present analytical exploration of novel activation functions as conse...

0 Snehanshu Saha, et al. ∙

∙ 05/19/2019

A Novel Chaos Theory Inspired Neuronal Architecture

The practical success of widely used machine learning (ML) and deep lear...

0 Harikrishnan N B, et al. ∙

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