Skanda Koppula
Skanda Koppula
Google DeepMind
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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
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
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
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
Object discovery and representation networks
OJ Hénaff, S Koppula, E Shelhamer, D Zoran, A Jaegle, A Zisserman, ...
arXiv preprint arXiv:2203.08777, 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
Power-based Side-Channel Attack for AES Key Extraction on the ATmega328 Microcontroller
U Banerjee, L Ho, S Koppula
Computer Systems Security, 2015
Learning a CNN-based End-to-end Controller for a Formula SAE Racecar
S Koppula
arXiv preprint arXiv:1708.02215, 2017
Hierarchical perceiver
J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ...
arXiv preprint arXiv:2202.10890, 2022
Applying the Residue Number System to Neural Network Inference
M Abdelhamid, S Koppula
arXiv preprint arXiv:1712.04614, 2017
Understanding Recurrent Neural State using Memory Signatures
S Koppula, KC Sim, K Chin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Energy-efficient speaker identification with low-precision networks
S Koppula, J Glass, AP Chandrakasan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 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
A Deep Learning Approach for Characterizing Major Galaxy Mergers
S Koppula, V Bapst, M Huertas-Company, S Blackwell, ...
arXiv preprint arXiv:2102.05182, 2021
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
6.857 Final Project A Public-Key Authentication Scheme for Controller Area Networks
N Bravo, S Koppula, M Chang
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
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