Picture for Varun Chandola

Varun Chandola

Large Deviations for Accelerating Neural Networks Training

Add code
Mar 02, 2023
Viaarxiv icon

Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility

Add code
Nov 27, 2022
Viaarxiv icon

An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds

Add code
Nov 25, 2022
Viaarxiv icon

Physics Informed Machine Learning for Chemistry Tabulation

Add code
Nov 06, 2022
Viaarxiv icon

ChemTab: A Physics Guided Chemistry Modeling Framework

Add code
Feb 20, 2022
Viaarxiv icon

Anomaly Detection for High-Dimensional Data Using Large Deviations Principle

Add code
Sep 28, 2021
Figure 1 for Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Figure 2 for Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Figure 3 for Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Figure 4 for Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Viaarxiv icon

From images in the wild to video-informed image classification

Add code
Sep 24, 2021
Figure 1 for From images in the wild to video-informed image classification
Figure 2 for From images in the wild to video-informed image classification
Figure 3 for From images in the wild to video-informed image classification
Figure 4 for From images in the wild to video-informed image classification
Viaarxiv icon

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)

Add code
Nov 01, 2019
Figure 1 for Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Figure 2 for Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Figure 3 for Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Figure 4 for Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Viaarxiv icon

Bayesian Anomaly Detection Using Extreme Value Theory

Add code
May 29, 2019
Figure 1 for Bayesian Anomaly Detection Using Extreme Value Theory
Figure 2 for Bayesian Anomaly Detection Using Extreme Value Theory
Figure 3 for Bayesian Anomaly Detection Using Extreme Value Theory
Figure 4 for Bayesian Anomaly Detection Using Extreme Value Theory
Viaarxiv icon

An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease

Add code
Oct 01, 2018
Figure 1 for An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease
Figure 2 for An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease
Figure 3 for An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease
Figure 4 for An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease
Viaarxiv icon