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Semantic ScholarDharmendra S. Modha
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- affiliation: IBM Research Almaden, San Jose, CA, USA
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2010 – today
- 2018
[i8]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)- [i7]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
- [j19]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha, John Sampson, Vijaykrishnan Narayanan:
Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor. IEEE Trans. Computers 66(6): 996-1007 (2017) - [c39]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
- [j18]Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul A. Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs:
Mapping Generative Models onto a Network of Digital Spiking Neurons. IEEE Trans. Biomed. Circuits and Systems 10(4): 837-854 (2016) - [c38]Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, Dharmendra S. Modha, Jack Sampson, Vijaykrishnan Narayanan:
LATTE: Low-power Audio Transform with TrueNorth Ecosystem. IJCNN 2016: 4270-4277 - [c37]Andreas G. Andreou, Andrew A. Dykman, Kate D. Fischl, Guillaume Garreau, Daniel R. Mendat, Garrick Orchard, Andrew S. Cassidy, Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Bryan L. Jackson, Dharmendra S. Modha:
Real-time sensory information processing using the TrueNorth Neurosynaptic System. ISCAS 2016: 2911 - [c36]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 Shaw, Hayley Wu, Brian Giera, Adam T. Moody, 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 - [i6]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) - [i5]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) - [i4]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
- [j17]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 Journal of Research and Development 59(2/3) (2015) - [j16]Filipp Akopyan, Jun Sawada, Andrew Cassidy, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Nabil Imam, Yutaka Y. Nakamura, Pallab Datta, Gi-Joon Nam, Brian Taba, Michael Beakes, Bernard Brezzo, Jente B. Kuang, Rajit Manohar, William P. Risk, Bryan L. Jackson, Dharmendra S. Modha:
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip. IEEE Trans. on CAD of Integrated Circuits and Systems 34(10): 1537-1557 (2015) - [c35]
- [c34]Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado:
Gibbs sampling with low-power spiking digital neurons. ISCAS 2015: 2704-2707 - [c33]Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha:
Backpropagation for Energy-Efficient Neuromorphic Computing. NIPS 2015: 1117-1125 - [i3]Srinjoy Das, Bruno U. Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado:
Gibbs Sampling with Low-Power Spiking Digital Neurons. CoRR abs/1503.07793 (2015) - [i2]Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs:
Mapping Generative Models onto Networks of Digital Spiking Neurons. CoRR abs/1509.07302 (2015) - 2014
- [c32]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
- [j15]Bryan L. Jackson, Bipin Rajendran, Gregory S. Corrado, Matthew J. Breitwisch, Geoffrey W. Burr, Roger Cheek, Kailash Gopalakrishnan, Simone Raoux, Charles T. Rettner, Alvaro Padilla, Alejandro G. Schrott, Rohit S. Shenoy, Bülent N. Kurdi, Chung Hon Lam, Dharmendra S. Modha:
Nanoscale electronic synapses using phase change devices. JETC 9(2): 12:1-12:20 (2013) - [c31]
- [c30]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, Benjamin Shaw, Norm Pass, Dharmendra S. Modha:
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores. IJCNN 2013: 1-10 - [c29]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 - [c28]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
- [c27]Nabil Imam, Filipp Akopyan, John V. Arthur, Paul Merolla, Rajit Manohar, Dharmendra S. Modha:
A Digital Neurosynaptic Core Using Event-Driven QDI Circuits. ASYNC 2012: 25-32 - [c26]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 - [c25]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 - [i1]Narayana P. Santhanam, Dharmendra S. Modha:
Optimal Lempel-Ziv based lossy compression for memoryless data: how to make the right mistakes. CoRR abs/1210.4700 (2012) - 2011
- [j14]Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh:
Cognitive computing. Commun. ACM 54(8): 62-71 (2011) - [c24]Narayana Prasad Santhanam, Dharmendra S. Modha:
Lossy Lempel-Ziv like compression algorithms for memoryless sources. Allerton 2011: 1751-1756 - [c23]Paul Merolla, John V. Arthur, Filipp Akopyan, Nabil Imam, Rajit Manohar, Dharmendra S. Modha:
A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm. CICC 2011: 1-4 - [c22]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
- [c21]Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha:
Binding sparse spatiotemporal patterns in spiking computation. IJCNN 2010: 1-9
2000 – 2009
- 2009
- [c20]Anthony J. Sherbondy, Robert F. Dougherty, Rajagopal Ananthanarayanan, Dharmendra S. Modha, Brian A. Wandell:
Think Global, Act Local; Projectome Estimation with BlueMatter. MICCAI (1) 2009: 861-868 - [c19]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 - 2007
- [j13]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. Journal of Machine Learning Research 8: 1919-1986 (2007) - [c18]
- 2006
- [c17]
- [c16]Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha:
Adaptive Website Design Using Caching Algorithms. WEBKDD 2006: 1-20 - 2005
- [c15]Binny S. Gill, Dharmendra S. Modha:
WOW: Wise Ordering for Writes - Combining Spatial and Temporal Locality in Non-Volatile Caches. FAST 2005 - [c14]Binny S. Gill, Dharmendra S. Modha:
SARC: Sequential Prefetching in Adaptive Replacement Cache. USENIX Annual Technical Conference, General Track 2005: 293-308 - 2004
- [j12]Nimrod Megiddo, Dharmendra S. Modha:
Outperforming LRU with an Adaptive Replacement Cache Algorithm. IEEE Computer 37(4): 58-65 (2004) - [c13]
- [c12]Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos:
Fully automatic cross-associations. KDD 2004: 79-88 - [c11]Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD 2004: 509-514 - 2003
- [j11]Dharmendra S. Modha, W. Scott Spangler:
Feature Weighting in k-Means Clustering. Machine Learning 52(3): 217-237 (2003) - [c10]Dharmendra S. Modha:
Codelet Parsing: Quadratic-time, Sequential, Adaptive Algorithms for Lossy Compression. DCC 2003: 223-232 - [c9]
- [c8]Pawan Goyal, Divyesh Jadav, Dharmendra S. Modha, Renu Tewari:
CacheCOW: QoS for Storage System Caches. IWQoS 2003: 498-515 - [c7]Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha:
Information-theoretic co-clustering. KDD 2003: 89-98 - [c6]Pawan Goyal, Dharmendra S. Modha, Renu Tewari:
CacheCOW: providing QoS for storage system caches. SIGMETRICS 2003: 306-307 - 2002
- [j10]Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler:
Class visualization of high-dimensional data with applications. Computational Statistics & Data Analysis 41(1): 59-90 (2002) - [j9]Larry J. Stockmeyer, Dharmendra S. Modha:
Links between complexity theory and constrained block coding. IEEE Trans. Information Theory 48(1): 59-88 (2002) - 2001
- [j8]Dharmendra S. Modha, Brian H. Marcus:
Art of constructing low-complexity encoders/decoders for constrained block codes. IEEE Journal on Selected Areas in Communications 19(4): 589-601 (2001) - [j7]Roy D. Cideciyan, Evangelos Eleftheriou, Brian H. Marcus, Dharmendra S. Modha:
Maximum transition run codes for generalized partial response channels. IEEE Journal on Selected Areas in Communications 19(4): 619-634 (2001) - [j6]Inderjit S. Dhillon, Dharmendra S. Modha:
Concept Decompositions for Large Sparse Text Data Using Clustering. Machine Learning 42(1/2): 143-175 (2001) - [c5]Larry J. Stockmeyer, Dharmendra S. Modha:
Links Between Complexity Theory and Constrained Block Coding. IEEE Conference on Computational Complexity 2001: 226-243 - [c4]Jorge Campello, Dharmendra S. Modha:
Extended bit-filling and LDPC code design. GLOBECOM 2001: 985-989 - [c3]Jorge Campello, Dharmendra S. Modha, Sridhar Rajagopalan:
Designing LDPC codes using bit-filling. ICC 2001: 55-59 - 2000
- [j5]Isaac L. Chuang, Dharmendra S. Modha:
Reversible arithmetic coding for quantum data compression. IEEE Trans. Information Theory 46(3): 1104-1116 (2000) - [c2]Dharmendra S. Modha, W. Scott Spangler:
Clustering hypertext with applications to web searching. Hypertext 2000: 143-152
1990 – 1999
- 1999
- [c1]Inderjit S. Dhillon, Dharmendra S. Modha:
A Data-Clustering Algorithm on Distributed Memory Multiprocessors. Large-Scale Parallel Data Mining 1999: 245-260 - 1998
- [j4]Dharmendra S. Modha, Elias Masry:
Prequential and Cross-Validated Regression Estimation. Machine Learning 33(1): 5-39 (1998) - [j3]Dharmendra S. Modha, Elias Masry:
Memory-Universal Prediction of Stationary Random Processes. IEEE Trans. Information Theory 44(1): 117-133 (1998) - 1996
- [j2]Dharmendra S. Modha, Elias Masry:
Minimum complexity regression estimation with weakly dependent observations. IEEE Trans. Information Theory 42(6): 2133-2145 (1996) - 1994
- [j1]Dharmendra S. Modha, Yeshaiahu Fainman:
A learning law for density estimation. IEEE Trans. Neural Networks 5(3): 519-523 (1994)
Coauthor Index
Andrew S. Cassidy
aka: Andrew Cassidy
aka: Andrew Cassidy
Myron Flickner
aka: Myron D. Flickner
aka: Myron D. Flickner
Paul Merolla
aka: Paul A. Merolla
aka: Paul A. Merolla
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