Emmett McQuinn

According to our database, Emmett McQuinn authored at least 8 papers between 2013 and 2020.

Collaborative distances:

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

2020

WHAMR!: Noisy and Reverberant Single-Channel Speech Separation.

Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

WHAM!: Extending Speech Separation to Noisy Environments.

Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux

Proceedings of the Interspeech 2019, 2019

2014

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations.

Ben Varkey Benjamin, Peiran Gao, Emmett McQuinn, Swadesh Choudhary, Anand Chandrasekaran, Jean-Marie Bussat, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Kwabena Boahen

Proc. IEEE, 2014

GlyphSea: Visualizing Vector Fields.

Emmett McQuinn, Amit Chourasia, Jürgen P. Schulze, Jean-Bernard Minster

Proceedings of the Visualization and Data Analysis 2014, 2014

Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution.

Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser, Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo, Roger Moussalli, Ralph Bellofatto, Christian W. Baks, Michael Mastro, Kai Schleupen, Charles E. Cox, Ken Inoue, Steven E. Millman, Nabil Imam, Emmett McQuinn, Yutaka Y. Nakamura, Ivan Vo, Chen Guok, Don Nguyen, Scott Lekuch, Sameh W. Asaad, Daniel J. Friedman, Bryan L. Jackson, Myron Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha

Proceedings of the International Conference for High Performance Computing, 2014

2013

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores.

Steven K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Davis Barch, Arnon Amir, John V. Arthur, Andrew Cassidy, Myron Flickner, Paul Merolla, Shyamal Chandra, Nicola Basilico, Stefano Carpin, Tom Zimmerman, Frank Zee, Rodrigo Alvarez-Icaza, Jeffrey A. Kusnitz, Theodore M. Wong, William P. Risk, Emmett McQuinn, Tapan K. Nayak, Raghavendra Singh, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores.

Andrew S. Cassidy, Paul Merolla, John V. Arthur, Steven K. Esser, Bryan L. Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M. Wong, Vitaly Feldman, Arnon Amir, Daniel Ben Dayan Rubin, Filipp Akopyan, Emmett McQuinn, William P. Risk, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores.

Arnon Amir, Pallab Datta, William P. Risk, Andrew S. Cassidy, Jeffrey A. Kusnitz, Steven K. Esser, Alexander Andreopoulos, Theodore M. Wong, Myron Flickner, Rodrigo Alvarez-Icaza, Emmett McQuinn, Ben Shaw, Norm Pass, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013