Initialized iterative reweighted least squares for automatic target recognition. - Brian Millikan; Aritra Dutta; Nazanin Rahnavard; Qiyu Sun; Hassan Foroosh (MILCOM, 2015)

Weighted Low Rank Approximation for Background Estimation Problems. - Xin Li 022; Aritra Dutta (ICCV Workshops, 2017)

A Batch-Incremental Video Background Estimation Model Using Weighted Low-Rank Approximation of Matrices. - Xin Li 022; Aritra Dutta; Peter Richtárik (ICCV Workshops, 2017)

A fast algorithm for a weighted low rank approximation. - Aritra Dutta; Xin Li 022 (MVA, 2017)

On a Problem of Weighted Low-Rank Approximation of Matrices. - Aritra Dutta; Xin Li 022 (SIAM J. Matrix Anal. Appl., 2017)

Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters. - Brian Millikan; Aritra Dutta; Qiyu Sun; Hassan Foroosh (IEEE Trans. Aerosp. Electron. Syst., 2017)

A Fast Weighted SVT Algorithm. - Aritra Dutta; Xin Li 022 (ICSAI, 2018)

Weighted Low-Rank Approximation of Matrices and Background Modeling. - Aritra Dutta; Xin Li 022; Peter Richtárik (CoRR, 2018)

A Nonconvex Projection Method for Robust PCA. - Aritra Dutta; Filip Hanzely; Peter Richtárik (AAAI, 2019)

Online and Batch Supervised Background Estimation Via L1 Regression. - Aritra Dutta; Peter Richtárik (WACV, 2019)

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. - Aritra Dutta; El Houcine Bergou; Ahmed M. Abdelmoniem; Chen-Yu Ho 001; Atal Narayan Sahu; Marco Canini; Panos Kalnis (AAAI, 2020)

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. - Rishikesh R. Gajjala; Shashwat Banchhor; Ahmed M. Abdelmoniem; Aritra Dutta; Marco Canini; Panos Kalnis (DistributedML@CoNEXT, 2020)

On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems. - Atal Narayan Sahu; Aritra Dutta; Aashutosh Tiwari; Peter Richtárik (CoRR, 2020)

Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit. - Aritra Dutta; Filip Hanzely; Jingwei Liang; Peter Richtárik (IEEE Trans. Signal Process., 2020)

GRACE: A Compressed Communication Framework for Distributed Machine Learning. - Hang Xu; Chen-Yu Ho 001; Ahmed M. Abdelmoniem; Aritra Dutta; El Houcine Bergou; Konstantinos Karatsenidis; Marco Canini; Panos Kalnis (ICDCS, 2021)

On Column Competent Matrices and Linear Complementarity Problem. - Aritra Dutta; Rwitam Jana; Arup Kumar Das (ICMC, 2021)

Rethinking gradient sparsification as total error minimization. - Atal Narayan Sahu; Aritra Dutta; Ahmed M. Abdelmoniem; Trambak Banerjee; Marco Canini; Panos Kalnis (NeurIPS, 2021)

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. - Hang Xu; Kelly Kostopoulou; Aritra Dutta; Xin Li 022; Alexandros Ntoulas; Panos Kalnis (NeurIPS, 2021)

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. - Kelly Kostopoulou; Hang Xu; Aritra Dutta; Xin Li 022; Alexandros Ntoulas; Panos Kalnis (CoRR, 2021)

Direct nonlinear acceleration. - Aritra Dutta; El Houcine Bergou; Yunming Xiao; Marco Canini; Peter Richtárik (EURO J. Comput. Optim., 2022)

Demystifying the Myths and Legends of Nonconvex Convergence of SGD. - Aritra Dutta; El Houcine Bergou; Soumia Boucherouite; Nicklas Werge; Melih Kandemir; Xin Li 022 (CoRR, 2023)

Robust Multi-Modal Image Stitching for Improved Scene Understanding. - Aritra Dutta; G. Suseela; Asmita Sood (CoRR, 2023)

Personalized Federated Learning with Communication Compression. - El Houcine Bergou; Konstantin Burlachenko; Aritra Dutta; Peter Richtárik (Trans. Mach. Learn. Res., 2023)

Multiview Aerial Visual Recognition (MAVREC): Can Multi-View Improve Aerial Visual Perception? - Aritra Dutta; Srijan Das; Jacob Nielsen; Rajatsubhra Chakraborty; Mubarak Shah (CVPR, 2024)

Towards Multi-modal Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Aritra Dutta; Xin Li 022; Chen Chen 001 (ECCV (15), 2024)

Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads. - Ali Khaleghi Rahimian; Manish Kumar Govind; Subhajit Maity; Dominick Reilly; Christian Kümmerle; Srijan Das; Aritra Dutta (CoRR, 2024)

A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. - El Houcine Bergou; Soumia Boucherouite; Aritra Dutta; Xin Li 022; Anna Ma (SIAM J. Matrix Anal. Appl., 2024)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers? - Subhajit Maity; Killian Hitsman; Xin Li 022; Aritra Dutta (CoRR, 2025)

GAEA: A Geolocation Aware Conversational Model. - Ron Campos; Ashmal Vayani; Parth Parag Kulkarni; Rohit Gupta 012; Aritra Dutta; Mubarak Shah (CoRR, 2025)

Intelligent Image Sensing for Crime Analysis: A ML Approach towards Enhanced Violence Detection and Investigation. - Aritra Dutta; Pushpita Boral; G. Suseela (CoRR, 2025)