Dharmendra S. Modha
According to our database1, Dharmendra S. Modha
Awards
IEEE Fellow
IEEE Fellow 2011, "For contributions to cognitive computing and caching algorithms".
Timeline
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Bibliography
2017
Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor.
IEEE Trans. Computers, 2017
A Low Power, Fully Event-Based Gesture Recognition System.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Mapping Generative Models onto a Network of Digital Spiking Neurons.
IEEE Trans. Biomed. Circuits and Systems, 2016
Deep neural networks are robust to weight binarization and other non-linear distortions.
CoRR, 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing.
CoRR, 2016
Structured Convolution Matrices for Energy-efficient Deep learning.
CoRR, 2016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.
Proceedings of the International Conference for High Performance Computing, 2016
Real-time sensory information processing using the TrueNorth Neurosynaptic System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
LATTE: Low-power Audio Transform with TrueNorth Ecosystem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2015
Visual saliency on networks of neurosynaptic cores.
IBM Journal of Research and Development, 2015
Mapping Generative Models onto Networks of Digital Spiking Neurons.
CoRR, 2015
Gibbs Sampling with Low-Power Spiking Digital Neurons.
CoRR, 2015
Backpropagation for Energy-Efficient Neuromorphic Computing.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Gibbs sampling with low-power spiking digital neurons.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Brain-Inspired Computing.
Proceedings of the 2015 International Conference on Parallel Architecture and Compilation, 2015
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.
Proceedings of the International Conference for High Performance Computing, 2014
2013
Nanoscale electronic synapses using phase change devices.
JETC, 2013
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores.
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.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
SyNAPSE: Jun Sawada.
Proceedings of the 13th International Conference on Application of Concurrency to System Design, 2013
2012
Optimal Lempel-Ziv based lossy compression for memoryless data: how to make the right mistakes
CoRR, 2012
Compass: a scalable simulator for an architecture for cognitive computing.
Proceedings of the SC Conference on High Performance Computing Networking, 2012
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
A Digital Neurosynaptic Core Using Event-Driven QDI Circuits.
Proceedings of the 18th IEEE International Symposium on Asynchronous Circuits and Systems, 2012
2011
Cognitive computing.
Commun. ACM, 2011
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons.
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011
A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm.
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011
Lossy Lempel-Ziv like compression algorithms for memoryless sources.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Binding sparse spatiotemporal patterns in spiking computation.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009
Think Global, Act Local; Projectome Estimation with BlueMatter.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2007
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation.
Journal of Machine Learning Research, 2007
Anatomy of a cortical simulator.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007
2006
Adaptive Website Design Using Caching Algorithms.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006
Making the Correct Mistakes.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006
2005
SARC: Sequential Prefetching in Adaptive Replacement Cache.
Proceedings of the 2005 USENIX Annual Technical Conference, 2005
WOW: Wise Ordering for Writes - Combining Spatial and Temporal Locality in Non-Volatile Caches.
Proceedings of the FAST '05 Conference on File and Storage Technologies, 2005
2004
Outperforming LRU with an Adaptive Replacement Cache Algorithm.
IEEE Computer, 2004
Fully automatic cross-associations.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
A generalized maximum entropy approach to bregman co-clustering and matrix approximation.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
CAR: Clock with Adaptive Replacement.
Proceedings of the FAST '04 Conference on File and Storage Technologies, March 31, 2004
2003
Feature Weighting in k-Means Clustering.
Machine Learning, 2003
CacheCOW: providing QoS for storage system caches.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2003
Information-theoretic co-clustering.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
CacheCOW: QoS for Storage System Caches.
Proceedings of the Quality of Service, 2003
ARC: A Self-Tuning, Low Overhead Replacement Cache.
Proceedings of the FAST '03 Conference on File and Storage Technologies, March 31, 2003
Codelet Parsing: Quadratic-time, Sequential, Adaptive Algorithms for Lossy Compression.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003
2002
Links between complexity theory and constrained block coding.
IEEE Trans. Information Theory, 2002
Class visualization of high-dimensional data with applications.
Computational Statistics & Data Analysis, 2002
2001
Concept Decompositions for Large Sparse Text Data Using Clustering.
Machine Learning, 2001
Art of constructing low-complexity encoders/decoders for constrained block codes.
IEEE Journal on Selected Areas in Communications, 2001
Maximum transition run codes for generalized partial response channels.
IEEE Journal on Selected Areas in Communications, 2001
Designing LDPC codes using bit-filling.
Proceedings of the IEEE International Conference on Communications, 2001
Extended bit-filling and LDPC code design.
Proceedings of the Global Telecommunications Conference, 2001
Links Between Complexity Theory and Constrained Block Coding.
Proceedings of the 16th Annual IEEE Conference on Computational Complexity, 2001
2000
Reversible arithmetic coding for quantum data compression.
IEEE Trans. Information Theory, 2000
Clustering hypertext with applications to web searching.
Proceedings of the HYPERTEXT 2000, Proceedings of the 11th ACM Conference on Hypertext and Hypermedia, May 30, 2000
1999
A Data-Clustering Algorithm on Distributed Memory Multiprocessors.
Proceedings of the Large-Scale Parallel Data Mining, 1999
1998
Memory-Universal Prediction of Stationary Random Processes.
IEEE Trans. Information Theory, 1998
Prequential and Cross-Validated Regression Estimation.
Machine Learning, 1998
1996
Minimum complexity regression estimation with weakly dependent observations.
IEEE Trans. Information Theory, 1996
1994
A learning law for density estimation.
IEEE Trans. Neural Networks, 1994