A Fuzzy Logic Based Approach to De-Weather Fog-Degraded Images. - Nachiket V. Desai; Aritra Chatterjee 002; Shaunak Mishra; Dhaval Chudasama; Sunav Choudhary; Sudhir Kumar Barai (CGIV, 2009)

A SPT treatment to the bit serial realization of the sign-LMS based adaptive filter. - Sunav Choudhary; Pritam Mukherjee; Mrityunjoy Chakraborty (ISCAS, 2010)

Communication protocols for underwater data collection using a robotic sensor network. - Geoffrey A. Hollinger; Sunav Choudhary; Parastoo Qarabaqi; Christopher Murphy; Urbashi Mitra; Gaurav S. Sukhatme; Milica Stojanovic; Hanumant Singh; Franz S. Hover (GLOBECOM Workshops, 2011)

Sparse recovery from convolved output in underwater acoustic relay networks. - Sunav Choudhary; Urbashi Mitra (APSIPA, 2012)

Underwater Data Collection Using Robotic Sensor Networks. - Geoffrey A. Hollinger; Sunav Choudhary; Parastoo Qarabaqi; Christopher Murphy; Urbashi Mitra; Gaurav S. Sukhatme; Milica Stojanovic; Hanumant Singh; Franz Hover (IEEE J. Sel. Areas Commun., 2012)

A SPT Treatment to the Realization of the Sign-LMS Based Adaptive Filters. - Sunav Choudhary; Pritam Mukherjee; Mrityunjoy Chakraborty; Shakti Shankar Rath (IEEE Trans. Circuits Syst. I Regul. Pap., 2012)

Identifiability bounds for bilinear inverse problems. - Sunav Choudhary; Urbashi Mitra (ACSSC, 2013)

On identifiability in bilinear inverse problems. - Sunav Choudhary; Urbashi Mitra (ICASSP, 2013)

Active target detection with navigation costs: A randomized benchmark. - Sunav Choudhary; Dhruva Kartik; Naveen Kumar 004; Srikanth Narayanan; Urbashi Mitra (Allerton, 2014)

On the impossibility of blind deconvolution for geometrically decaying subspace sparse signals. - Sunav Choudhary; Urbashi Mitra (GlobalSIP, 2014)

Active target detection with mobile agents. - Sunav Choudhary; Naveen Kumar 004; Srikanth Narayanan; Urbashi Mitra (ICASSP, 2014)

Sparse blind deconvolution: What cannot be done. - Sunav Choudhary; Urbashi Mitra (ISIT, 2014)

Identifiability Scaling Laws in Bilinear Inverse Problems. - Sunav Choudhary; Urbashi Mitra (CoRR, 2014)

Fundamental Limits of Blind Deconvolution Part I: Ambiguity Kernel. - Sunav Choudhary; Urbashi Mitra (CoRR, 2014)

Analysis of target detection via matrix completion. - Sunav Choudhary; Urbashi Mitra (ICASSP, 2015)

Structured sparse methods for active ocean observation systems with communication constraints. - Urbashi Mitra; Sunav Choudhary; Franz S. Hover; Robert Hummel; Naveen Kumar 004; Shrikanth S. Narayanan; Milica Stojanovic; Gaurav S. Sukhatme (IEEE Commun. Mag., 2015)

Fundamental Limits of Blind Deconvolution Part II: Sparsity-Ambiguity Trade-offs. - Sunav Choudhary; Urbashi Mitra (CoRR, 2015)

Delay-Doppler estimation via structured low-rank matrix recovery. - Sunav Choudhary; Sajjad Beygi; Urbashi Mitra (ICASSP, 2016)

On target localization with communication costs via tensor completion: A multi-modal approach. - Sagar Honnungar; Sunav Choudhary; Urbashi Mitra (ICASSP, 2016)

Active Target Localization using Low-Rank Matrix Completion and Unimodal Regression. - Sunav Choudhary; Naveen Kumar 004; Srikanth Narayanan; Urbashi Mitra (CoRR, 2016)

Smart Geo-fencing with Location Sensitive Product Affinity. - Ankur Garg; Sunav Choudhary; Payal Bajaj; Sweta Agrawal; Abhishek Kedia; Shubham Agrawal (SIGSPATIAL/GIS, 2017)

An LSTM Based System for Prediction of Human Activities with Durations. - Kundan Krishna; Deepali Jain; Sanket V. Mehta; Sunav Choudhary (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Sparse Decomposition for Time Series Forecasting and Anomaly Detection. - Sunav Choudhary; Gaurush Hiranandani; Shiv Kumar Saini (SDM, 2018)

Bilinear Matrix Factorization Methods for Time-Varying Narrowband Channel Estimation: Exploiting Sparsity and Rank. - Sajjad Beygi; Amr Elnakeeb; Sunav Choudhary; Urbashi Mitra (IEEE Trans. Signal Process., 2018)

On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution. - Sunav Choudhary; Urbashi Mitra (IEEE Trans. Signal Process., 2018)

Mentor Pattern Identification from Product Usage Logs. - Ankur Garg; Aman Kharb; Yash H. Malviya; J. P. Sagar; Atanu R. Sinha; Iftikhar Ahamath Burhanuddin; Sunav Choudhary (PAKDD (3), 2019)

Data-Driven Compression of Convolutional Neural Networks. - Ramit Pahwa; Manoj Ghuhan Arivazhagan; Ankur Garg; Siddarth Krishnamoorthy; Rohit Saxena; Sunav Choudhary (CoRR, 2019)

Federated Learning with Personalization Layers. - Manoj Ghuhan Arivazhagan; Vinay Aggarwal; Aaditya Kumar Singh; Sunav Choudhary (CoRR, 2019)

Scheduling ML training on unreliable spot instances. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (UCC Companion, 2021)

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. - Haoyu Ma; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Zhangyang Wang; Tong Yu 001; Jiuxiang Gu; Sunav Choudhary; Xiaohui Xie (CVPR, 2022)

Correlated Stochastic Knapsack with a Submodular Objective. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (ESA, 2022)

Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing. - Kunjal Panchal; Sunav Choudhary; Hui Guan 001 (CoRR, 2022)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. - Harshita Chopra; Atanu R. Sinha; Sunav Choudhary; Ryan A. Rossi; Paavan Kumar Indela; Veda Pranav Parwatala; Srinjayee Paul; Aurghya Maiti (CIKM, 2023)

Flash: Concept Drift Adaptation in Federated Learning. - Kunjal Panchal; Sunav Choudhary; Subrata Mitra; Koyel Mukherjee; Somdeb Sarkhel; Saayan Mitra; Hui Guan 001 (ICML, 2023)

Flow: Per-instance Personalized Federated Learning. - Kunjal Panchal; Sunav Choudhary; Nisarg Parikh; Lijun Zhang 005; Hui Guan 001 (NeurIPS, 2023)

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning. - Hamid Mozaffari; Sunav Choudhary; Amir Houmansadr (ESORICS (1), 2024)

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models. - Kunjal Panchal; Nisarg Parikh; Sunav Choudhary; Lijun Zhang 005; Yuriy Brun; Hui Guan 001 (NeurIPS, 2024)

Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits. - Adit Jain; Soumyabrata Pal; Sunav Choudhary; Ramasuri Narayanam; Vikram Krishnamurthy (CoRR, 2024)

Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data. - Prakhar Verma; David Arbour; Sunav Choudhary; Harshita Chopra; Arno Solin; Atanu R. Sinha (CoRR, 2025)

The Cost of Avoiding Backpropagation. - Kunjal Panchal; Sunav Choudhary; Yuriy Brun; Hui Guan 001 (CoRR, 2025)