Mike Davies

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 29

Top Topics

Spiking Neural Networks

Signal Processing

Top Venues

Publications

Andrew Wang, Mike Davies
Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening. CoRR (2024)
Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio Processing with Loihi 2. ICASSP (2024)
Shuo Li, Mike Davies, Mehrdad Yaghoobi
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting. CoRR (2024)
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. 3 (3) (2023)
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy Shea, Mike Davies
The Intel Neuromorphic DNS Challenge. CoRR (2023)
Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio processing with Loihi 2. CoRR (2023)
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 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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94 (10) (2022)
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
Iam hiQ - a novel pair of accuracy indices for imputed genotypes. BMC Bioinform. 23 (1) (2022)
Serban Scrieciu, Liz Varga, Nici Zimmermann, Zaid Chalabi, Rachel Freeman, Tom Dolan, Dmitry Borisoglebsky, Mike Davies
An Inquiry into Model Validity When Addressing Complex Sustainability Challenges. Complex. 2022 (2022)
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
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110 (10) (2022)
Julián Tachella, Dongdong Chen, Mike Davies
Unsupervised Learning From Incomplete Measurements for Inverse Problems. NeurIPS (2022)
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
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR (2021)
Mike Davies
Lessons from Loihi: Progress in Neuromorphic Computing. VLSI Circuits (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR (2021)
Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proc. IEEE 109 (5) (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS (2021)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR (2020)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE (2020)
Konstantinos Pitas, Andreas Loukas, Mike Davies, Pierre Vandergheynst
Some limitations of norm based generalization bounds in deep neural networks. CoRR (2019)
Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36 (6) (2019)
Mike Davies
Benchmarks for progress in neuromorphic computing. Nat. Mach. Intell. 1 (9) (2019)
Mike Davies
Progress in Neuromorphic Computing : Drawing Inspiration from Nature for Gains in AI and Computing. VLSI-DAT (2019)
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
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro 38 (1) (2018)
Christos Chatzichristos, Mike Davies, Javier Escudero, Eleftherios Kofidis, Sergios Theodoridis
Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. EUSIPCO (2018)
Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang
Programming Spiking Neural Networks on Intel's Loihi. Computer 51 (3) (2018)
Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Tsung-Han Lin, Mike Davies, Hong Wang
Mapping spiking neural networks onto a manycore neuromorphic architecture. PLDI (2018)
Andrew Lines, Prasad Joshi, Ruokun Liu, Steve McCoy, Jonathan Tse, Yi-Hsin Weng, Mike Davies
Loihi Asynchronous Neuromorphic Research Chip. ASYNC (2018)
Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies
Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. CoRR (2017)
Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel
A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design. ASYNC (2014)
Mike Davies
One billion packet per second frame processing pipeline. Hot Chips Symposium (2011)
Xu Zhao, Mike Davies
Coding-Assisted Blind MIMO Separation and Decoding. IEEE Trans. Veh. Technol. 59 (9) (2010)
Matthew E. Dunnachie, Paul W. Shields, David H. Crawford, Mike Davies
Filler models for Automatic Speech Recognition created from Hidden Markov Models using the K-Means algorithm. EUSIPCO (2009)
Xu Zhao, Mike Davies
Coding assisted blind MIMO equalization and decoding. EUSIPCO (2009)
Mike Davies
On the Efficiency of Embedding Information Within Scalar Quantizers. IEEE Trans. Inf. Theory 54 (2) (2008)
Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies
Slack Matching Asynchronous Designs. ASYNC (2006)
Miguel T. Coimbra, Mike Davies
Approximating optical flow within the MPEG-2 compressed domain. IEEE Trans. Circuits Syst. Video Technol. 15 (1) (2005)
Mike Davies
Identifiability, Subspace Selection and Noisy ICA. ICA (2004)
Miguel T. Coimbra, Mike Davies
Segmentation of moving pedestrians within the compressed domain. ICASSP (3) (2004)
Mike Davies, Fred D. J. Bowden
End-user evaluation procedures associated with the interactive F-111C Pave Tack Simulation (FPTS). Simul. Pract. Theory 2 (6) (1995)