3 citations · 10 across the 9 of their papers we have counts for
9 papers
Dictionary Based Pattern Entropy for Causal Direction Discovery
Harikrishnan N B, Shubham Bhilare, Aditi Kathpalia +1
Discovering causal direction from temporal observational data is particularly challenging for symbolic sequences, where functional models and noise assumptions are often unavailabl…
Compression Spectrum: Where Shannon meets Fourier
Aditi Kathpalia, Nithin Nagaraj
Signal processing and Information theory are two disparate fields used for characterizing signals for various scientific and engineering applications. Spectral/Fourier analysis, a…
Granger Causality for Compressively Sensed Sparse Signals
Aditi Kathpalia, Nithin Nagaraj
Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted and stored using far fewer measurements than done by conventional means employing Nyquist…
Cause-Effect Preservation and Classification using Neurochaos Learning
Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj
Discovering cause-effect from observational data is an important but challenging problem in science and engineering. In this work, a recently proposed brain inspired learning algor…
Learning Generalized Causal Structure in Time-series
Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj
The science of causality explains/determines 'cause-effect' relationship between the entities of a system by providing mathematical tools for the purpose. In spite of all the succe…
Measuring Causality: The Science of Cause and Effect
Aditi Kathpalia, Nithin Nagaraj
Determining and measuring cause-effect relationships is fundamental to most scientific studies of natural phenomena. The notion of causation is distinctly different from correlatio…
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification
Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha +1
Inspired by chaotic firing of neurons in the brain, we propose ChaosNet -- a novel chaos based artificial neural network architecture for classification tasks. ChaosNet is built us…
Causal Stability and Synchronization
Aditi Kathpalia, Nithin Nagaraj
Synchronization of chaos arises between coupled dynamical systems and is very well understood as a temporal phenomena which leads the coupled systems to converge or develop a depen…
Causality Testing: A Data Compression Framework
Aditi Kathpalia, Nithin Nagaraj
Causality testing, the act of determining cause and effect from measurements, is widely used in physics, climatology, neuroscience, econometrics and other disciplines. As a result,…