| 2024 | MICRO | 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 |
| 2021 | CVPR | Efficacy of Bayesian Neural Networks in Active Learning. | Vineeth Rakesh, Swayambhoo Jain |
| 2021 | DCC | Low Rank Based End-to-End Deep Neural Network Compression. | Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racap |
| 2021 | DCC | A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces. | Sriram Ravula, Swayambhoo Jain |
| 2021 | GLOBECOM | MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification. | Shahab Hamidi-Rad, Swayambhoo Jain |
| 2021 | GLOBECOM | Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding. | Sriram Ravula, Swayambhoo Jain |
| 2021 | ICIP | Data-Driven Low-Rank Neural Network Compression. | Dimitris Papadimitriou, Swayambhoo Jain |
| 2020 | ITA | Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. | Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis |
| 2019 | ACSSC | Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. | Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde |
| 2019 | ICASSP | Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks. | Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis |
| 2019 | ICLR | Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. | Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan |
| 2019 | IJCAI | Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. | Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh |
| 2017 | ICASSP | Group-level support recovery guarantees for group lasso estimator. | Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt |
| 2017 | ICASSP | Convolutional approximations to linear dimensionality reduction operators. | Swayambhoo Jain, Jarvis D. Haupt |
| 2017 | ISIT | Noisy tensor completion for tensors with a sparse canonical polyadic factor. | Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt |
| 2017 | ISIT | Noisy inductive matrix completion under sparse factor models. | Akshay Soni, Troy Chevalier, Swayambhoo Jain |
| 2013 | ACSSC | Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. | Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt |