Kriti Kumar

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 28

Top Topics

Function Approximation

Dictionary Learning

Top Venues

Publications

Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP (2023)
Subhasri Chatterjee, Naibedya Pattnaik, Abhijeet Gorey, Kriti Kumar, Supriya Gain, Arijit Sinharay, Tapas Chakravarty, Arpan Pal
A Digital Twin Approach for Estimation of Contaminants in Lubrication Oil through Photoacoustic Sensing System. ICST (2023)
Naibedya Pattnaik, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra
Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. EUSIPCO (2023)
Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO (2023)
Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO (2023)
Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys (2022)
Kriti Kumar, Angshul Majumdar, M. Girish Chandra
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) (2022)
K. Aditi, Achanna Anil Kumar, Angshul Majumdar, R. Krishna Kanth, Tapas Chakravarty, Kriti Kumar, Arpan Pal
Phaseless FMCW Multistatic Radar. IEEE SENSORS (2022)
R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. EUSIPCO (2022)
Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR (2022)
K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. EUSIPCO (2022)
Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP (2021)
Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO (2021)
Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN (2021)
Arup Kumar Das, Kriti Kumar, Rahul D. Gavas, Dibyanshu Jaiswal, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, M. Girish Chandra, Arpan Pal
Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. EUSIPCO (2020)
Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO (2020)
Kriti Kumar, M. Girish Chandra
Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. EUSIPCO (2020)
Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala
Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. e-Energy (2019)
Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. IWANN (1) (2019)
Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML (2019)
K. Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra
Enterprise System Response Time Prediction Using Non-stationary Function Approximations. IWANN (1) (2019)
Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra
On Using Graph Signal Processing for Electrical Load Disaggregation. HiPC Workshops (2019)
Kriti Kumar, M. Girish Chandra, Aakanksha Bapna, Achanna Anil Kumar
Graph Structured Dictionary for Regression. EUSIPCO (2018)
Achanna Anil Kumar, N. Narendra, M. Girish Chandra, Kriti Kumar
Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. EUSIPCO (2018)
Prasant Misra, Gopi Kandaswamy, Pragyan Mohapatra, Kriti Kumar, P. Balamuralidhar
Structural Health Monitoring of Multi-Rotor Micro Aerial Vehicles. DroNet@MobiSys (2018)
Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala
Tool Wear Prediction using Function Approximation Driven by Signal Processing. IECON (2018)
Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar
Regressing Kernel Dictionary Learning. ICASSP (2018)
Kriti Kumar, Ashley Varghese, Pavan K. Reddy, N. Narendra, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar
An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. CoRR (2014)
N. Narendra, Pavan K. Reddy, Kriti Kumar, Ashley Varghese, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar
MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. IEEE ANTS (2014)