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ORCIDSwayambhoo Jain
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2020 – today
- 2024
[j5]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:
Composition of Experts on the SN40L Reconfigurable Dataflow Unit. IEEE Micro 44(6): 34-43 (2024)- [c21]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:
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. MICRO 2024: 1353-1366 - [i16]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 abs/2405.07518 (2024) - [i15]Ravi Raju, Swayambhoo Jain, Bo Li, Jonathan Li, Urmish Thakker:
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge. CoRR abs/2408.08808 (2024) - [i14]Swayambhoo Jain, Ravi Raju, Bo Li, Zoltan Csaki, Jonathan Li, Kaizhao Liang, Guoyao Feng, Urmish Thakkar, Anand Sampat, Raghu Prabhakar, Sumati Jairath:
Composition of Experts: A Modular Compound AI System Leveraging Large Language Models. CoRR abs/2412.01868 (2024) - 2022
- [j4]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): 3203-3216 (2022) - 2021
- [c20]Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. CVPR Workshops 2021: 2601-2609 - [c19]Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé:
Low Rank Based End-to-End Deep Neural Network Compression. DCC 2021: 233-242 - [c18]Sriram Ravula, Swayambhoo Jain:
A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces. DCC 2021: 363 - [c17]Shahab Hamidi-Rad, Swayambhoo Jain:
MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification. GLOBECOM 2021: 1-6 - [c16]Sriram Ravula, Swayambhoo Jain:
Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding. GLOBECOM 2021: 1-6 - [c15]Dimitris Papadimitriou, Swayambhoo Jain:
Data-Driven Low-Rank Neural Network Compression. ICIP 2021: 3547-3551 - [i13]Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. CoRR abs/2104.00896 (2021) - [i12]Dimitris Papadimitriou, Swayambhoo Jain:
Data-Driven Low-Rank Neural Network Compression. CoRR abs/2107.05787 (2021) - 2020
- [c14]Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis:
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. ITA 2020: 1-16
2010 – 2019
- 2019
- [c13]Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde:
Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC 2019: 2127-2131 - [c12]Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis:
Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. ICASSP 2019: 3277-3281 - [c11]Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan:
Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. DGS@ICLR 2019 - [c10]Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. IJCAI 2019: 2038-2044 - [i11]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 abs/1902.04664 (2019) - [i10]Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis:
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. CoRR abs/1904.02841 (2019) - [i9]Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. CoRR abs/1905.12881 (2019) - 2018
- [c9]Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson:
Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) 2018: 360-376 - 2017
- [j3]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): 2142-2151 (2017) - [c8]Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt:
Group-level support recovery guarantees for group lasso estimator. ICASSP 2017: 4366-4370 - [c7]Swayambhoo Jain, Jarvis D. Haupt:
Convolutional approximations to linear dimensionality reduction operators. ICASSP 2017: 5885-5889 - [c6]Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt:
Noisy tensor completion for tensors with a sparse canonical polyadic factor. ISIT 2017: 2153-2157 - [c5]Akshay Soni, Troy Chevalier, Swayambhoo Jain:
Noisy inductive matrix completion under sparse factor models. ISIT 2017: 2990-2994 - [i8]Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad:
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR abs/1702.07798 (2017) - [i7]Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson:
Block CUR : Decomposing Large Distributed Matrices. CoRR abs/1703.06065 (2017) - [i6]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 abs/1708.08826 (2017) - 2016
- [j2]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 62(6): 3636-3661 (2016) - [j1]Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis:
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. IEEE Trans. Wirel. Commun. 15(2): 899-912 (2016) - [i5]Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt:
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR abs/1602.07754 (2016) - [i4]Akshay Soni, Troy Chevalier, Swayambhoo Jain:
Noisy Inductive Matrix Completion Under Sparse Factor Models. CoRR abs/1609.03958 (2016) - 2015
- [c4]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: 373-376 - 2014
- [c3]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP 2014: 399-403 - [i3]Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis:
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. CoRR abs/1409.8359 (2014) - [i2]Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella:
Noisy Matrix Completion under Sparse Factor Models. CoRR abs/1411.0282 (2014) - 2013
- [c2]Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt:
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC 2013: 163-167 - [i1]Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt:
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR abs/1311.5599 (2013) - 2012
- [c1]Seung-Jun Kim, Swayambhoo Jain, Georgios B. Giannakis:
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. SPAWC 2012: 65-69
Coauthor Index
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