| Perceiver io: A general architecture for structured inputs & outputs A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ... arXiv preprint arXiv:2107.14795, 2021 | 173 | 2021 |
| EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM S Koppula, L Orosa, AG Yağlıkçı, R Azizi, T Shahroodi, K Kanellopoulos, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 85 | 2019 |
| Efficient visual pretraining with contrastive detection OJ Hénaff, S Koppula, JB Alayrac, A Van den Oord, O Vinyals, J Carreira Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 71 | 2021 |
| SMASH: Co-designing software compression and hardware-accelerated indexing for efficient sparse matrix operations K Kanellopoulos, N Vijaykumar, C Giannoula, R Azizi, S Koppula, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 69 | 2019 |
| Object discovery and representation networks OJ Hénaff, S Koppula, E Shelhamer, D Zoran, A Jaegle, A Zisserman, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 16 | 2022 |
| Accurate, low-latency visual perception for autonomous racing: Challenges, mechanisms, and practical solutions K Strobel, S Zhu, R Chang, S Koppula 2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020 | 15 | 2020 |
| Power-based Side-Channel Attack for AES Key Extraction on the ATmega328 Microcontroller U Banerjee, L Ho, S Koppula Computer Systems Security, 2015 | 13* | 2015 |
| Hierarchical perceiver J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ... arXiv preprint arXiv:2202.10890, 2022 | 7 | 2022 |
| Learning a CNN-based End-to-end Controller for a Formula SAE Racecar S Koppula arXiv preprint arXiv:1708.02215, 2017 | 7 | 2017 |
| Applying the Residue Number System to Neural Network Inference M Abdelhamid, S Koppula arXiv preprint arXiv:1712.04614, 2017 | 5 | 2017 |
| Perceiver IO: a general architecture for structured inputs & outputs. arXiv 2021 A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ... URL: https://arxiv. org/abs/2107.14795, 0 | 5 | |
| Understanding Recurrent Neural State using Memory Signatures S Koppula, KC Sim, K Chin 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 3 | 2018 |
| Where should i spend my flops? efficiency evaluations of visual pre-training methods S Koppula, Y Li, E Shelhamer, A Jaegle, N Parthasarathy, R Arandjelovic, ... arXiv preprint arXiv:2209.15589, 2022 | 2 | 2022 |
| A Deep Learning Approach for Characterizing Major Galaxy Mergers S Koppula, V Bapst, M Huertas-Company, S Blackwell, ... arXiv preprint arXiv:2102.05182, 2021 | 2 | 2021 |
| Energy-efficient speaker identification with low-precision networks S Koppula, J Glass, AP Chandrakasan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
| EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators L Orosa, S Koppula, Y Umuroglu, K Kanellopoulos, J Gomez-Luna, ... arXiv preprint arXiv:2202.02310, 2022 | 1 | 2022 |
| 6.857 Final Project A Public-Key Authentication Scheme for Controller Area Networks N Bravo, S Koppula, M Chang | | 2015 |
| Robust prediction-based analysis for genome-wide association and expression studies. S Koppula, A Zollanvari, N An, G Alterovitz AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits …, 2012 | | 2012 |
Utsav BanerjeeIndian Institute of ScienceVerified email at alum.mit.edu
