Swayambhoo Jain

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Top Venues

Publications

Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR (2024)
Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Sriram Ravula, Swayambhoo Jain
A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces. DCC (2021)
Shahab Hamidi-Rad, Swayambhoo Jain
MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification. GLOBECOM (2021)
Dimitris Papadimitriou, Swayambhoo Jain
Data-Driven Low-Rank Neural Network Compression. CoRR (2021)
Vineeth Rakesh, Swayambhoo Jain
Efficacy of Bayesian Neural Networks in Active Learning. CoRR (2021)
Vineeth Rakesh, Swayambhoo Jain
Efficacy of Bayesian Neural Networks in Active Learning. CVPR Workshops (2021)
Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé
Low Rank Based End-to-End Deep Neural Network Compression. DCC (2021)
Dimitris Papadimitriou, Swayambhoo Jain
Data-Driven Low-Rank Neural Network Compression. ICIP (2021)
Sriram Ravula, Swayambhoo Jain
Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding. GLOBECOM (2021)
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. ITA (2020)
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. CoRR (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. DGS@ICLR (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde
Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC (2019)
Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. CoRR (2019)
Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. IJCAI (2019)
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. ICASSP (2019)
Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. CoRR (2019)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) (2018)
Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt
Noisy tensor completion for tensors with a sparse canonical polyadic factor. ISIT (2017)
Swayambhoo Jain, Jarvis D. Haupt
Convolutional approximations to linear dimensionality reduction operators. ICASSP (2017)
Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR (2017)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. CoRR (2017)
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Noisy inductive matrix completion under sparse factor models. ISIT (2017)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR : Decomposing Large Distributed Matrices. CoRR (2017)
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
Group-level support recovery guarantees for group lasso estimator. ICASSP (2017)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 62 (6) (2016)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR (2016)
Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. IEEE Trans. Wirel. Commun. 15 (2) (2016)
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Noisy Inductive Matrix Completion Under Sparse Factor Models. CoRR (2016)
Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella
Locating rare and weak material anomalies by convex demixing of propagating wavefields. CAMSAP (2015)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion under Sparse Factor Models. CoRR (2014)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP (2014)
Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. CoRR (2014)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR (2013)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC (2013)
Seung-Jun Kim, Swayambhoo Jain, Georgios B. Giannakis
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. SPAWC (2012)