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Object discovery and representation networks


Mar 16, 2022
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović

* Technical report 

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Hierarchical Perceiver


Feb 22, 2022
Joao Carreira, Skanda Koppula, Daniel Zoran, Adria Recasens, Catalin Ionescu, Olivier Henaff, Evan Shelhamer, Relja Arandjelovic, Matt Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle


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EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators


Feb 04, 2022
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gomez-Luna, Michaela Blott, Kees Vissers, Onur Mutlu


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Perceiver IO: A General Architecture for Structured Inputs & Outputs


Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Efficient Visual Pretraining with Contrastive Detection


Mar 19, 2021
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aaron van den Oord, Oriol Vinyals, João Carreira

* Technical report 

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A Deep Learning Approach for Characterizing Major Galaxy Mergers


Feb 09, 2021
Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

* Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada 

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Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions


Jul 28, 2020
Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula


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EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM


Oct 12, 2019
Skanda Koppula, Lois Orosa, Abdullah Giray Yağlıkçı, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu

* This work is to appear at MICRO 2019 

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Understanding Recurrent Neural State Using Memory Signatures


Feb 11, 2018
Skanda Koppula, Khe Chai Sim, Kean Chin

* Accepted to 2018 IEEE International Conference on Acoustics, Speech and Signal Processing 

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Learning a CNN-based End-to-End Controller for a Formula SAE Racecar


Jul 12, 2017
Skanda Koppula


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