Dharmendra S. Modha

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 26

Top Topics

Spiking Neurons

Gesture Recognition

Efficient Inference

Top Venues

Publications

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)
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 (2023)
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)
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
Learned Step Size quantization. ICLR (2020)
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 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) (2019)
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)
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
Learned Step Size Quantization. CoRR (2019)
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 (2018)
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 (2018)
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) (2017)
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)
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)
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 (2016)
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 (2016)
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)
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 Syst. 10 (4) (2016)
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) (2016)
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, 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)
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 (2016)
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)
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 (2015)
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 P. 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. Comput. Aided Des. Integr. Circuits Syst. 34 (10) (2015)
Dharmendra S. Modha
Brain-Inspired Computing. PACT (2015)
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 (2015)
Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha
Backpropagation for Energy-Efficient Neuromorphic Computing. NIPS (2015)
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)
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)
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. ACM J. Emerg. Technol. Comput. Syst. 9 (2) (2013)
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)
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)
Jun Sawada, Dharmendra S. Modha
SyNAPSE: Jun Sawada. ACSD (2013)
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)
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)
Narayana P. Santhanam, Dharmendra S. Modha
Optimal Lempel-Ziv based lossy compression for memoryless data: how to make the right mistakes CoRR (2012)
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)
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)
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)
Narayana Prasad Santhanam, Dharmendra S. Modha
Lossy Lempel-Ziv like compression algorithms for memoryless sources. Allerton (2011)
Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh
Cognitive computing. Commun. ACM 54 (8) (2011)
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)
Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha
Binding sparse spatiotemporal patterns in spiking computation. IJCNN (2010)
Rajagopal Ananthanarayanan, Steven K. Esser, Horst D. Simon, Dharmendra S. Modha
synapses. SC (2009)
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)
Rajagopal Ananthanarayanan, Dharmendra S. Modha
Anatomy of a cortical simulator. SC (2007)
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. 8 (2007)
Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha
Adaptive Website Design Using Caching Algorithms. WEBKDD (2006)
Dharmendra S. Modha, Narayana P. Santhanam
Making the Correct Mistakes. DCC (2006)
Binny S. Gill, Dharmendra S. Modha
SARC: Sequential Prefetching in Adaptive Replacement Cache. USENIX Annual Technical Conference, General Track (2005)
Binny S. Gill, Dharmendra S. Modha
WOW: Wise Ordering for Writes - Combining Spatial and Temporal Locality in Non-Volatile Caches. FAST (2005)
Sorav Bansal, Dharmendra S. Modha
CAR: Clock with Adaptive Replacement. FAST (2004)
Nimrod Megiddo, Dharmendra S. Modha
Outperforming LRU with an Adaptive Replacement Cache Algorithm. Computer 37 (4) (2004)
Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos
Fully automatic cross-associations. KDD (2004)
Dharmendra S. Modha, Daniela Pucci de Farias
Finite-state rate-distortion for individual sequences. ISIT (2004)
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)
Pawan Goyal, Divyesh Jadav, Dharmendra S. Modha, Renu Tewari
CacheCOW: QoS for Storage System Caches. IWQoS (2003)
Nimrod Megiddo, Dharmendra S. Modha
One Up on LRU. login Usenix Mag. 28 (4) (2003)
Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha
Information-theoretic co-clustering. KDD (2003)
Dharmendra S. Modha
Codelet Parsing: Quadratic-time, Sequential, Adaptive Algorithms for Lossy Compression. DCC (2003)
Pawan Goyal, Dharmendra S. Modha, Renu Tewari
CacheCOW: providing QoS for storage system caches. SIGMETRICS (2003)
Dharmendra S. Modha, W. Scott Spangler
-Means Clustering. Mach. Learn. 52 (3) (2003)
Nimrod Megiddo, Dharmendra S. Modha
ARC: A Self-Tuning, Low Overhead Replacement Cache. FAST (2003)
Larry J. Stockmeyer, Dharmendra S. Modha
Links between complexity theory and constrained block coding. IEEE Trans. Inf. Theory 48 (1) (2002)
Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler
Class visualization of high-dimensional data with applications. Comput. Stat. Data Anal. 41 (1) (2002)
Larry J. Stockmeyer, Dharmendra S. Modha
Links Between Complexity Theory and Constrained Block Coding. Computational Complexity Conference (2001)
Jorge Campello, Dharmendra S. Modha, Sridhar Rajagopalan
Designing LDPC codes using bit-filling. ICC (2001)
Jorge Campello, Dharmendra S. Modha
Extended bit-filling and LDPC code design. GLOBECOM (2001)
Roy D. Cideciyan, Evangelos Eleftheriou, Brian H. Marcus, Dharmendra S. Modha
Maximum transition run codes for generalized partial response channels. IEEE J. Sel. Areas Commun. 19 (4) (2001)
Dharmendra S. Modha, Brian H. Marcus
Art of constructing low-complexity encoders/decoders for constrained block codes. IEEE J. Sel. Areas Commun. 19 (4) (2001)
Inderjit S. Dhillon, Dharmendra S. Modha
Concept Decompositions for Large Sparse Text Data Using Clustering. Mach. Learn. 42 (1/2) (2001)
Isaac L. Chuang, Dharmendra S. Modha
Reversible arithmetic coding for quantum data compression. IEEE Trans. Inf. Theory 46 (3) (2000)
Dharmendra S. Modha, W. Scott Spangler
Clustering hypertext with applications to web searching. Hypertext (2000)
Inderjit S. Dhillon, Dharmendra S. Modha
A Data-Clustering Algorithm on Distributed Memory Multiprocessors. Large-Scale Parallel Data Mining (1999)
Dharmendra S. Modha, Elias Masry
Memory-Universal Prediction of Stationary Random Processes. IEEE Trans. Inf. Theory 44 (1) (1998)
Dharmendra S. Modha, Elias Masry
Prequential and Cross-Validated Regression Estimation. Mach. Learn. 33 (1) (1998)
Dharmendra S. Modha, Elias Masry
Rate of Convergence in Density Estimation Using Neural Networks. Neural Comput. 8 (5) (1996)
Dharmendra S. Modha, Elias Masry
Minimum complexity regression estimation with weakly dependent observations. IEEE Trans. Inf. Theory 42 (6) (1996)
Dharmendra S. Modha, Yeshaiahu Fainman
A learning law for density estimation. IEEE Trans. Neural Networks 5 (3) (1994)