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Mike Davies

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Self-Supervised Learning for Image Super-Resolution and Deblurring

Dec 18, 2023
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella

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Efficient Video and Audio processing with Loihi 2

Oct 05, 2023
Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady, Leobardo Campos-Macias, Mike Davies

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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Apr 15, 2023
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander Bohte, Younes Bouhadjar, Sonia Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

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The Intel Neuromorphic DNS Challenge

Mar 17, 2023
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy Shea, Mike Davies

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Imaging with Equivariant Deep Learning

Sep 05, 2022
Dongdong Chen, Mike Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

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Sampling Theorems for Unsupervised Learning in Linear Inverse Problems

Mar 23, 2022
Julián Tachella, Dongdong Chen, Mike Davies

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Sampling Theorems for Learning from Incomplete Measurements

Jan 31, 2022
Julián Tachella, Dongdong Chen, Mike Davies

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Efficient Neuromorphic Signal Processing with Loihi 2

Nov 05, 2021
Garrick Orchard, E. Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

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Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware

Jun 09, 2021
Denis Kleyko, Mike Davies, E. Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer

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