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ORCIDSteven K. Esser
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- affiliation: IBM Research, Almaden Research Center, San Jose, USA
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2020 – today
- 2024
[c16]Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito
, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215- 2023
- [c15]Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda:
IBM NorthPole Neural Inference Machine. HCS 2023: 1-58 - [i7]Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha:
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference. CoRR abs/2301.13330 (2023) - 2020
- [c14]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size quantization. ICLR 2020
2010 – 2019
- 2019
- [j4]Michael V. DeBole, Brian Taba, Arnon Amir, Filipp Akopyan, Alexander Andreopoulos, William P. Risk, Jeff Kusnitz, Carlos Ortega Otero, Tapan K. Nayak, Rathinakumar Appuswamy, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Steven K. Esser, Guillaume Garreau, Kevin L. Holland, Scott Lekuch, Michael Mastro, Jeffrey L. McKinstry, Carmelo di Nolfo, Brent Paulovicks, Jun Sawada, Kai Schleupen, Benjamin G. Shaw, Jennifer L. Klamo, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha:
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years. Computer 52(5): 20-29 (2019) - [c13]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference. EMC2@NeurIPS 2019: 6-9 - [i6]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size Quantization. CoRR abs/1902.08153 (2019) - 2018
- [i5]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference. CoRR abs/1809.04191 (2018) - [i4]Jeffrey L. McKinstry, Davis R. Barch, Deepika Bablani, Michael DeBole, Steven K. Esser, Jeffrey A. Kusnitz, John V. Arthur, Dharmendra S. Modha:
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing. CoRR abs/1809.09260 (2018) - 2017
- [c12]Arnon Amir, Brian Taba, David J. Berg, Timothy Melano, Jeffrey L. McKinstry, Carmelo di Nolfo, Tapan K. Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael DeBole, Steven K. Esser, Tobi Delbrück, Myron Flickner, Dharmendra S. Modha:
A Low Power, Fully Event-Based Gesture Recognition System. CVPR 2017: 7388-7397 - 2016
- [j3]Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha:
Convolutional networks for fast, energy-efficient neuromorphic computing. Proc. Natl. Acad. Sci. USA 113(41): 11441-11446 (2016) - [c11]Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha:
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. SC 2016: 130-141 - [i3]Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha:
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing. CoRR abs/1603.08270 (2016) - [i2]Paul Merolla, Rathinakumar Appuswamy, John V. Arthur, Steven K. Esser, Dharmendra S. Modha:
Deep neural networks are robust to weight binarization and other non-linear distortions. CoRR abs/1606.01981 (2016) - [i1]Rathinakumar Appuswamy, Tapan K. Nayak, John V. Arthur, Steven K. Esser, Paul Merolla, Jeffrey L. McKinstry, Timothy Melano, Myron Flickner, Dharmendra S. Modha:
Structured Convolution Matrices for Energy-efficient Deep learning. CoRR abs/1606.02407 (2016) - 2015
- [j2]Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, William P. Risk, Arnon Amir, Paul Merolla, John V. Arthur, David J. Berg, Jeffrey A. Kusnitz, Pallab Datta, Steven K. Esser, Rathinakumar Appuswamy, Davis Barch, Dharmendra S. Modha:
Visual saliency on networks of neurosynaptic cores. IBM J. Res. Dev. 59(2/3) (2015) - [c10]Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha:
Backpropagation for Energy-Efficient Neuromorphic Computing. NIPS 2015: 1117-1125 - 2014
- [c9]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:
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. SC 2014: 27-38 - 2013
- [c8]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:
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores. IJCNN 2013: 1-10 - [c7]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:
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores. IJCNN 2013: 1-10 - [c6]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:
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores. IJCNN 2013: 1-10 - 2012
- [c5]John V. Arthur, Paul Merolla, Filipp Akopyan, Rodrigo Alvarez-Icaza, Andrew Cassidy, Shyamal Chandra, Steven K. Esser, Nabil Imam, William P. Risk, Daniel Ben Dayan Rubin, Rajit Manohar, Dharmendra S. Modha:
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core. IJCNN 2012: 1-8 - [c4]Robert Preissl, Theodore M. Wong, Pallab Datta, Myron Flickner, Raghavendra Singh, Steven K. Esser, William P. Risk, Horst D. Simon, Dharmendra S. Modha:
Compass: a scalable simulator for an architecture for cognitive computing. SC 2012: 54 - 2011
- [j1]Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh:
Cognitive computing. Commun. ACM 54(8): 62-71 (2011) - [c3]Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran, José A. Tierno, Leland Chang, Dharmendra S. Modha, Daniel J. Friedman:
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. CICC 2011: 1-4 - 2010
- [c2]Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha:
Binding sparse spatiotemporal patterns in spiking computation. IJCNN 2010: 1-9
2000 – 2009
- 2009
- [c1]Rajagopal Ananthanarayanan, Steven K. Esser, Horst D. Simon, Dharmendra S. Modha:
The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses. SC 2009
Coauthor Index
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