Swayambhoo Jain

According to our database, Swayambhoo Jain authored at least 34 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Tuowen Zhao, Mark Gottscho, Zhengyu Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Kevin J. Brown, Kunle Olukotun

IEEE Micro, 2024

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models.

Swayambhoo Jain, Ravi Raju, Bo Li, Zoltan Csaki, Jonathan Li, Kaizhao Liang, Guoyao Feng, Urmish Thakkar, Anand Sampat, Raghu Prabhakar, Sumati Jairath

CoRR, 2024

Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge.

Ravi Raju, Swayambhoo Jain, Bo Li, Jonathan Li, Urmish Thakker

CoRR, 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, 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

CoRR, 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, Xiaoyan 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, Zhengyu Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

2022

Overview of the Neural Network Compression and Representation (NNR) Standard.

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

IEEE Trans. Circuits Syst. Video Technol., 2022

2021

Data-Driven Low-Rank Neural Network Compression.

Dimitris Papadimitriou, Swayambhoo Jain

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding.

Sriram Ravula, Swayambhoo Jain

Proceedings of the IEEE Global Communications Conference, 2021

MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification.

Shahab Hamidi-Rad, Swayambhoo Jain

Proceedings of the IEEE Global Communications Conference, 2021

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces.

Sriram Ravula, Swayambhoo Jain

Proceedings of the 31st Data Compression Conference, 2021

Low Rank Based End-to-End Deep Neural Network Compression.

Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé

Proceedings of the 31st Data Compression Conference, 2021

Efficacy of Bayesian Neural Networks in Active Learning.

Vineeth Rakesh, Swayambhoo Jain

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks.

Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis

Proceedings of the Information Theory and Applications Workshop, 2020

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

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization.

Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs.

Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks.

Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2019

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing.

Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Block CUR: Decomposing Matrices Using Groups of Columns.

Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.

Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt

IEEE Trans. Biomed. Eng., 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

Block CUR : Decomposing Large Distributed Matrices.

Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson

CoRR, 2017

Rank-to-engage: New Listwise Approaches to Maximize Engagement.

Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad

CoRR, 2017

Noisy inductive matrix completion under sparse factor models.

Akshay Soni, Troy Chevalier, Swayambhoo Jain

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Noisy tensor completion for tensors with a sparse canonical polyadic factor.

Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Convolutional approximations to linear dimensionality reduction operators.

Swayambhoo Jain, Jarvis D. Haupt

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Group-level support recovery guarantees for group lasso estimator.

Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering.

Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis

IEEE Trans. Wirel. Commun., 2016

Noisy Matrix Completion Under Sparse Factor Models.

Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella

IEEE Trans. Inf. Theory, 2016

2015

Locating rare and weak material anomalies by convex demixing of propagating wavefields.

Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering.

Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis

CoRR, 2014

Error bounds for maximum likelihood matrix completion under sparse factor models.

Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach.

Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering.

Seung-Jun Kim, Swayambhoo Jain, Georgios B. Giannakis

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012