Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. - Seung-Jun Kim 002; Swayambhoo Jain; Georgios B. Giannakis (SPAWC, 2012)

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. - Swayambhoo Jain; Akshay Soni; Jarvis D. Haupt (ACSSC, 2013)

Error bounds for maximum likelihood matrix completion under sparse factor models. - Akshay Soni; Swayambhoo Jain; Jarvis D. Haupt; Stefano Gonella (GlobalSIP, 2014)

Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. - Swayambhoo Jain; Seung-Jun Kim 002; Georgios B. Giannakis (CoRR, 2014)

Locating rare and weak material anomalies by convex demixing of propagating wavefields. - Mojtaba Kadkhodaie; Swayambhoo Jain; Jarvis D. Haupt; Jeffrey M. Druce; Stefano Gonella (CAMSAP, 2015)

Noisy Matrix Completion Under Sparse Factor Models. - Akshay Soni; Swayambhoo Jain; Jarvis D. Haupt; Stefano Gonella (IEEE Trans. Inf. Theory, 2016)

Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. - Swayambhoo Jain; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2016)

Group-level support recovery guarantees for group lasso estimator. - Mojtaba Kadkhodaie Elyaderani; Swayambhoo Jain; Jeffrey M. Druce; Stefano Gonella; Jarvis D. Haupt (ICASSP, 2017)

Convolutional approximations to linear dimensionality reduction operators. - Swayambhoo Jain; Jarvis D. Haupt (ICASSP, 2017)

Noisy tensor completion for tensors with a sparse canonical polyadic factor. - Swayambhoo Jain; Alexander Gutierrez; Jarvis D. Haupt (ISIT, 2017)

Noisy inductive matrix completion under sparse factor models. - Akshay Soni; Troy Chevalier; Swayambhoo Jain (ISIT, 2017)

Rank-to-engage: New Listwise Approaches to Maximize Engagement. - Swayambhoo Jain; Akshay Soni; Nikolay Laptev; Yashar Mehdad (CoRR, 2017)

Block CUR : Decomposing Large Distributed Matrices. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (CoRR, 2017)

Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. - Mojtaba Kadkhodaie Elyaderani; Swayambhoo Jain; Jeffrey M. Druce; Stefano Gonella; Jarvis D. Haupt (CoRR, 2017)

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. - Swayambhoo Jain; Urvashi Oswal; Kevin S. Xu 001; Brian Eriksson; Jarvis D. Haupt (IEEE Trans. Biomed. Eng., 2017)

Block CUR: Decomposing Matrices Using Groups of Columns. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (ECML/PKDD (2), 2018)

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan; Chinmay Hegde (ACSSC, 2019)

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. - Fatemeh Sheikholeslami; Swayambhoo Jain; Georgios B. Giannakis (ICASSP, 2019)

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan (DGS@ICLR, 2019)

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. - Emanuele Bugliarello; Swayambhoo Jain; Vineeth Rakesh (IJCAI, 2019)

Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. - Mohammadreza Soltani; Swayambhoo Jain; Abhinav V. Sambasivan (CoRR, 2019)

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. - Fatemeh Sheikholeslami; Swayambhoo Jain; Georgios B. Giannakis (ITA, 2020)

Efficacy of Bayesian Neural Networks in Active Learning. - Vineeth Rakesh; Swayambhoo Jain (CVPR Workshops, 2021)

Low Rank Based End-to-End Deep Neural Network Compression. - Swayambhoo Jain; Shahab Hamidi-Rad; Fabien Racapé (DCC, 2021)

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces. - Sriram Ravula; Swayambhoo Jain (DCC, 2021)

MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification. - Shahab Hamidi-Rad; Swayambhoo Jain (GLOBECOM, 2021)

Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding. - Sriram Ravula; Swayambhoo Jain (GLOBECOM, 2021)

Data-Driven Low-Rank Neural Network Compression. - Dimitris Papadimitriou; Swayambhoo Jain (ICIP, 2021)

Overview of the Neural Network Compression and Representation (NNR) Standard. - Heiner Kirchhoffer; Paul Haase; Wojciech Samek; Karsten Müller 001; Hamed Rezazadegan Tavakoli; Francesco Cricri; Emre B. Aksu; Miska M. Hannuksela; Wei Jiang 001; Wei Wang 311; Shan Liu 001; Swayambhoo Jain; et al. (IEEE Trans. Circuits Syst. Video Technol., 2022)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Yongning Sheng; Joshua Brot; et al. (MICRO, 2024)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Karen Li; Yongning Sheng; Joshua Brot; et al. (CoRR, 2024)

Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge. - Ravi Raju; Swayambhoo Jain; Bo Li; Jonathan Li 009; Urmish Thakker (CoRR, 2024)

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models. - Swayambhoo Jain; Ravi Raju; Bo Li; Zoltan Csaki; Jonathan Li 009; Kaizhao Liang; Guoyao Feng; Urmish Thakkar; Anand Sampat; Raghu Prabhakar; Sumati Jairath (CoRR, 2024)

Composition of Experts on the SN40L Reconfigurable Dataflow Unit. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Joshua Brot; Calvin Leung; et al. (IEEE Micro, 2024)

Training Domain Draft Models for Speculative Decoding: Best Practices and Insights. - Fenglu Hong; Ravi Raju; Jonathan Lingjie Li; Bo Li; Urmish Thakker; Avinash Ravichandran; Swayambhoo Jain; Changran Hu (CoRR, 2025)