Swayambhoo Jain

43 papers A* 2B 7Misc 6Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Training Domain Draft Models for Speculative Decoding: Best Practices and Insights. CoRR Fenglu Hong, Ravi Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu
2024	J	`jnl`	Composition of Experts on the SN40L Reconfigurable Dataflow Unit. IEEE Micro 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
2024	J	`jnl`	Composition of Experts: A Modular Compound AI System Leveraging Large Language Models. CoRR Swayambhoo Jain, Ravi Raju, Bo Li, Zoltan Csaki, Jonathan Li, Kaizhao Liang, Guoyao Feng, Urmish Thakkar, Anand Sampat, Raghu Prabhakar, Sumati Jairath
2024	J	`jnl`	Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge. CoRR Ravi Raju, Swayambhoo Jain, Bo Li, Jonathan Li, Urmish Thakker
2024	A*	`conf`	SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. MICRO 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
2024	J	`jnl`	SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR 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
2022	J	`jnl`	Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 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
2021	B	`conf`	A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces. DCC Sriram Ravula, Swayambhoo Jain
2021	B	`conf`	Data-Driven Low-Rank Neural Network Compression. ICIP Dimitris Papadimitriou, Swayambhoo Jain
2021	J	`jnl`	Data-Driven Low-Rank Neural Network Compression. CoRR Dimitris Papadimitriou, Swayambhoo Jain
2021	B	`conf`	Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding. GLOBECOM Sriram Ravula, Swayambhoo Jain
2021	—	`conf`	Efficacy of Bayesian Neural Networks in Active Learning. CVPR Workshops Vineeth Rakesh, Swayambhoo Jain
2021	J	`jnl`	Efficacy of Bayesian Neural Networks in Active Learning. CoRR Vineeth Rakesh, Swayambhoo Jain
2021	B	`conf`	Low Rank Based End-to-End Deep Neural Network Compression. DCC Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé
2021	B	`conf`	MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification. GLOBECOM Shahab Hamidi-Rad, Swayambhoo Jain
2020	Misc	`conf`	Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. ITA Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2019	Misc	`conf`	Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. ICASSP Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2019	Misc	`conf`	Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde
2019	J	`jnl`	Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing. CoRR Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
2019	A*	`conf`	Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. IJCAI Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
2019	J	`jnl`	Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. CoRR Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
2019	J	`jnl`	Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. CoRR Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
2019	—	`conf`	Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. DGS@ICLR Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan
2018	—	`conf`	Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
2017	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2017	J	`jnl`	Block CUR : Decomposing Large Distributed Matrices. CoRR Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
2017	Misc	`conf`	Convolutional approximations to linear dimensionality reduction operators. ICASSP Swayambhoo Jain, Jarvis D. Haupt
2017	Misc	`conf`	Group-level support recovery guarantees for group lasso estimator. ICASSP Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
2017	J	`jnl`	Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. CoRR Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
2017	B	`conf`	Noisy inductive matrix completion under sparse factor models. ISIT Akshay Soni, Troy Chevalier, Swayambhoo Jain
2017	B	`conf`	Noisy tensor completion for tensors with a sparse canonical polyadic factor. ISIT Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt
2017	J	`jnl`	Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
2016	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2016	J	`jnl`	Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. IEEE Trans. Wirel. Commun. Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
2016	J	`jnl`	Noisy Inductive Matrix Completion Under Sparse Factor Models. CoRR Akshay Soni, Troy Chevalier, Swayambhoo Jain
2016	J	`jnl`	Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2015	—	`conf`	Locating rare and weak material anomalies by convex demixing of propagating wavefields. CAMSAP Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella
2014	J	`jnl`	Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. CoRR Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
2014	—	`conf`	Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2014	J	`jnl`	Noisy Matrix Completion under Sparse Factor Models. CoRR Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2013	J	`jnl`	Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2013	Misc	`conf`	Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2012	—	`conf`	Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. SPAWC Seung-Jun Kim, Swayambhoo Jain, Georgios B. Giannakis