Mike Davies

According to our database, Mike Davies authored at least 34 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening.

Andrew Wang, Mike Davies

CoRR, 2024

2023

The Intel neuromorphic DNS challenge.

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

Neuromorph. Comput. Eng., September, 2023

Efficient Video and Audio processing with Loihi 2.

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies

CoRR, 2023

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

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. 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 P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael 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

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

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

J. Signal Process. Syst., 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

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

Proc. IEEE, 2022

An Inquiry into Model Validity When Addressing Complex Sustainability Challenges.

Serban Scrieciu, Liz Varga, Nici Zimmermann, Zaid Chalabi, Rachel Freeman, Tom Dolan, Dmitry Borisoglebsky, Mike Davies

Complex., 2022

Iam hiQ - a novel pair of accuracy indices for imputed genotypes.

Albert Rosenberger, Viola Tozzi, Heike Bickeböller, Rayjean J. Hung, David C. Christiani, Neil E. Caporaso, Geoffrey Liu, Stig E. Bojesen, Loic Le Marchand, Demetrios Albanes, Melinda C. Aldrich, Adonina Tardon, Guillermo Fernández-Tardón, Gad Rennert, John K. Field, Mike Davies, Triantafillos Liloglou, Lambertus A. Kiemeney, Philip Lazarus, Aage Haugen, Shanbeh Zienolddiny, Stephen Lam, Matthew B. Schabath, Angeline S. Andrew, Eric J. Duell, Susanne M. Arnold, Hans Brunnström, Olle Melander, Gary E. Goodman, Chu Chen, Jennifer A. Doherty, Marion Dawn Teare, Angela Cox, Penella J. Woll, Angela Risch, Thomas R. Muley, Mikael Johansson, Paul Brennan, Maria Teresa Landi, Sanjay Shete, Christopher I. Amos

BMC Bioinform., 2022

2021

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook.

Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud

Proc. IEEE, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

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

CoRR, 2021

Lessons from Loihi: Progress in Neuromorphic Computing.

Mike Davies

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.

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

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.

Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].

Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang

IEEE Signal Process. Mag., 2019

Benchmarks for progress in neuromorphic computing.

Mike Davies

Nat. Mach. Intell., 2019

Some limitations of norm based generalization bounds in deep neural networks.

Konstantinos Pitas, Andreas Loukas, Mike Davies, Pierre Vandergheynst

CoRR, 2019

Progress in Neuromorphic Computing : Drawing Inspiration from Nature for Gains in AI and Computing.

Mike Davies

Proceedings of the International Symposium on VLSI Design, Automation and Test, 2019

2018

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.

Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham N. Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios D. Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit-Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi-Hsin Weng, Andreas Wild, Yoonseok Yang, Hong Wang

IEEE Micro, 2018

Programming Spiking Neural Networks on Intel's Loihi.

Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang

Computer, 2018

Mapping spiking neural networks onto a manycore neuromorphic architecture.

Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Tsung-Han Lin, Mike Davies, Hong Wang

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions.

Christos Chatzichristos, Mike Davies, Javier Escudero, Eleftherios Kofidis, Sergios Theodoridis

Proceedings of the 26th European Signal Processing Conference, 2018

Loihi Asynchronous Neuromorphic Research Chip.

Andrew Lines, Prasad Joshi, Ruokun Liu, Steve McCoy, Jonathan Tse, Yi-Hsin Weng, Mike Davies

Proceedings of the 24th IEEE International Symposium on Asynchronous Circuits and Systems, 2018

2017

Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results.

Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies

CoRR, 2017

2014

A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design.

Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel

Proceedings of the 20th IEEE International Symposium on Asynchronous Circuits and Systems, 2014

2011

One billion packet per second frame processing pipeline.

Mike Davies

Proceedings of the 2011 IEEE Hot Chips 23 Symposium (HCS), 2011

2010

Coding-Assisted Blind MIMO Separation and Decoding.

Xu Zhao, Mike Davies

IEEE Trans. Veh. Technol., 2010

2009

Coding assisted blind MIMO equalization and decoding.

Xu Zhao, Mike Davies

Proceedings of the 17th European Signal Processing Conference, 2009

Filler models for Automatic Speech Recognition created from Hidden Markov Models using the K-Means algorithm.

Matthew E. Dunnachie, Paul W. Shields, David H. Crawford, Mike Davies

Proceedings of the 17th European Signal Processing Conference, 2009

2008

On the Efficiency of Embedding Information Within Scalar Quantizers.

Mike Davies

IEEE Trans. Inf. Theory, 2008

2006

Slack Matching Asynchronous Designs.

Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies

Proceedings of the 12th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2006), 2006

2005

Approximating optical flow within the MPEG-2 compressed domain.

Miguel T. Coimbra, Mike Davies

IEEE Trans. Circuits Syst. Video Technol., 2005

2004

Segmentation of moving pedestrians within the compressed domain.

Miguel T. Coimbra, Mike Davies

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Identifiability, Subspace Selection and Noisy ICA.

Mike Davies

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

1995

End-user evaluation procedures associated with the interactive F-111C Pave Tack Simulation (FPTS).

Mike Davies, Fred D. J. Bowden

Simul. Pract. Theory, 1995