Sunav Choudhary

Engineering · Physical Sciences

14h-index1.2kcitations45works0.42yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sparse and Compressive Sensing Techniques(15), Blind Source Separation Techniques(8), Privacy-Preserving Technologies in Data(6), Underwater Vehicles and Communication Systems(6), Image and Signal Denoising Methods(4)

Publications45 total

Learning to Reason in LLMs by Expectation Maximization
arXiv (Cornell University)·2025Open Access
Learning to Reason in LLMs by Expectation Maximization
ArXiv.org·2025Open Access
Charts Are Not Images: On the Challenges of Scientific Chart Editing
arXiv (Cornell University)·2025Open Access
The Cost of Avoiding Backpropagation
arXiv (Cornell University)·2025Open Access
Sparse Linear Bandits with Blocking Constraints
arXiv (Cornell University)·2024Open Access
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
arXiv (Cornell University)·2024Open Access
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
arXiv (Cornell University)·2024Open Access
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Lecture notes in computer science·2024· 4 cited
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
2024
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
2023· 1 citedOpen Access
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
arXiv (Cornell University)·2022Open Access
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 55 cited
Scheduling ML training on unreliable spot instances
2021· 6 cited
Federated Learning with Personalization Layers
arXiv (Cornell University)·2019· 517 citedOpen Access
Data-Driven Compression of Convolutional Neural Networks
arXiv (Cornell University)·2019· 3 citedOpen Access
Mentor Pattern Identification from Product Usage Logs
Lecture notes in computer science·2019
Bilinear Matrix Factorization Methods for Time-Varying Narrowband Channel Estimation: Exploiting Sparsity and Rank
IEEE Transactions on Signal Processing·2018· 16 cited
Sparse Decomposition for Time Series Forecasting and Anomaly Detection
Society for Industrial and Applied Mathematics eBooks·2018· 13 citedOpen Access
On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution
IEEE Transactions on Signal Processing·2018· 7 cited
An LSTM Based System for Prediction of Human Activities with Durations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies·2018· 64 cited
page 1 of 3Next →

Frequent Co-authors

Urbashi Mitra(21), Milica Stojanovic(4), Franz S. Hover(4), Ryan A. Rossi(4), Kunjal Panchal(4), Geoffrey A. Hollinger(3), Parastoo Qarabaqi(3), Christopher Murphy(3), Gaurav S. Sukhatme(3), Hanumant Singh(3), Vaegae Naveen Kumar(3), Ankur Garg(3), Srikanth Narayanan(3), Pritam Mukherjee(3), Mrityunjoy Chakraborty(3), Manoj Ghuhan Arivazhagan(2), Sajjad Beygi(2), Nachiket Desai(2), Shaunak Mishra(2), Dhaval Chudasama(2)