Kenneth Kreutz-Delgado

Publication Activity (10 Years)

Years Active: 1989-2021
Publications (10 Years): 31

Top Topics

Sparse Bayesian Learning

Deep Belief Networks

Top Venues

Publications

Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access 9 (2021)
Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? CoRR (2021)
Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR (2021)
Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig
The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage 224 (2021)
Xinyu Zhang, Srinjoy Das, Kenneth Kreutz-Delgado
Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. CoRR (2021)
Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR (2021)
Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR (2021)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR (2021)
Alejandro Ojeda, Kenneth Kreutz-Delgado, Jyoti Mishra
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors. Neural Comput. 33 (9) (2021)
Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy 22 (11) (2020)
Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig
Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE (2020)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. IJCNN (2019)
Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185 (2019)
Ching-Fu Chen, Kenneth Kreutz-Delgado, Martin I. Sereno, Ruey-Song Huang
Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. NeuroImage 185 (2019)
Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. CoRR (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR (2019)
Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198 (2019)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC (2019)
Alejandro Ojeda, Kenneth Kreutz-Delgado, Tim R. Mullen
Fast and robust Block-Sparse Bayesian learning for EEG source imaging. NeuroImage 174 (2018)
Xinyu Zhang, Srinjoy Das, Ojash Neopane, Kenneth Kreutz-Delgado
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. CoRR (2017)
Luca Pion-Tonachini, Scott Makeig, Kenneth Kreutz-Delgado
Crowd labeling latent Dirichlet allocation. Knowl. Inf. Syst. 53 (3) (2017)
Xiaojing Xu, Srinjoy Das, Kenneth Kreutz-Delgado
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. CoRR (2017)
Ching-Fu Chen, Kenneth Kreutz-Delgado, Martin I. Sereno, Ruey-Song Huang
Validation of periodic fMRI signals in response to wearable tactile stimulation. NeuroImage 150 (2017)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS (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)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR (2016)
Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig
Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. CoRR (2015)
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)
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)
Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig
Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning. IEEE Signal Process. Lett. 21 (2) (2014)
Ozgur Balkan, Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Scott Makeig
Basis selection for maximally independent EEG sources. EMBC (2014)
Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig
Towards an EEG search engine. GlobalSIP (2013)
Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN (2013)
Nima Bigdely Shamlo, Tim R. Mullen, Kenneth Kreutz-Delgado, Scott Makeig
Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. NeuroImage 72 (2013)
Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR (2013)
Matthew D. Burns, Nima Bigdely Shamlo, Nathaniel J. Smith, Kenneth Kreutz-Delgado, Scott Makeig
Comparison of averaging and regression techniques for estimating Event Related Potentials. EMBC (2013)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
The linear process mixture model. MLSP (2013)
Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Kay Robbins, Makoto Miyakoshi, Marissa Westerfield, Tarik Bel-Bahar, Christian Kothe, Jessica Hsi, Scott Makeig
Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. GlobalSIP (2013)
Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig
Robust joint sparse recovery on data with outliers. ICASSP (2013)
Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig
EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. EMBC (2013)
Tasha Frankie, Gordon F. Hughes, Kenneth Kreutz-Delgado
Solid State Disk Object-Based Storage with Trim Commands CoRR (2012)
Tasha Frankie, Gordon F. Hughes, Kenneth Kreutz-Delgado
Analysis of Trim Commands on Overprovisioning and Write Amplification in Solid State Drives CoRR (2012)
Tasha Frankie, Gordon F. Hughes, Kenneth Kreutz-Delgado
A mathematical model of the trim command in NAND-flash SSDs. ACM Southeast Regional Conference (2012)
Cheng Cao, Zeynep Akalin Acar, Kenneth Kreutz-Delgado, Scott Makeig
A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. EMBC (2012)
Scott Makeig, Christian Kothe, Tim R. Mullen, Nima Bigdely Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado
Evolving Signal Processing for Brain-Computer Interfaces. Proc. IEEE 100 (Centennial-Issue) (2012)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Strong Sub- and Super-Gaussianity. LVA/ICA (2010)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA (2009)
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado
A complex cross-spectral distribution model using Normal Variance Mean Mixtures. ICASSP (2009)
Kenneth Kreutz-Delgado, Yogananda Isukapalli
Use of the Newton Method for Blind Adaptive Equalization Based on the Constant Modulus Algorithm. IEEE Trans. Signal Process. 56 (8-2) (2008)
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Newton method for the ICA mixture model. ICASSP (2008)
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao, Kenneth Kreutz-Delgado
Performance Evaluation of Latent Variable Models with Sparse Priors. ICASSP (2) (2007)
Joseph F. Murray, Kenneth Kreutz-Delgado
Learning Sparse Overcomplete Codes for Images. J. VLSI Signal Process. 46 (1) (2007)
Joseph F. Murray, Kenneth Kreutz-Delgado
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. Neural Comput. 19 (9) (2007)
Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. ICA (2007)
Tasha Vanesian, Kenneth Kreutz-Delgado
Algorithmic Tools for Adversarial Games: Intent Analysis Using Evolutionary Computation. CISDA (2007)
Joseph F. Murray, Kenneth Kreutz-Delgado
Learning Sparse Overcomplete Codes for Images. J. VLSI Signal Process. 45 (1-2) (2006)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Super-Gaussian Mixture Source Model for ICA. ICA (2006)
Joseph F. Murray, Gordon F. Hughes, Kenneth Kreutz-Delgado
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. J. Mach. Learn. Res. 6 (2005)
Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Variational EM Algorithms for Non-Gaussian Latent Variable Models. NIPS (2005)
Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan, Kenneth Kreutz-Delgado
Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans. Signal Process. 53 (7) (2005)
Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
Dictionary Learning Algorithms for Sparse Representation. Neural Comput. 15 (2) (2003)
Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado
Subset selection in noise based on diversity measure minimization. IEEE Trans. Signal Process. 51 (3) (2003)
Jack B. Aldrich, Robert E. Skelton, Kenneth Kreutz-Delgado
Control synthesis for a class of light and agile robotic tensegrity structures. ACC (2003)
Gordon F. Hughes, Joseph F. Murray, Kenneth Kreutz-Delgado, Charles Elkan
Improved disk-drive failure warnings. IEEE Trans. Reliab. 51 (3) (2002)
Shane F. Cotter, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries. IEEE Signal Process. Lett. 9 (5) (2002)
Shane F. Cotter, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Backward sequential elimination for sparse vector subset selection. Signal Process. 81 (9) (2001)
Michael Hardt, J. William Helton, Kenneth Kreutz-Delgado
control problems with application to jet engine compressors. IEEE Trans. Control. Syst. Technol. 8 (1) (2000)
Kenneth Kreutz-Delgado, Bhaskar D. Rao
Sparse basis selection, ICA, and majorization: towards a unified perspective. ICASSP (1999)
Bhaskar D. Rao, Kenneth Kreutz-Delgado
An affine scaling methodology for best basis selection. IEEE Trans. Signal Process. 47 (1) (1999)
Patrick H. Kelly, Edward Hunter, Kenneth Kreutz-Delgado, Ramesh C. Jain
Lip Posture Estimation using Kinematically Constrained Mixture Models. BMVC (1998)
David DeMers, Kenneth Kreutz-Delgado
Learning Global Properties of Nonredundant Kinematic Mappings. Int. J. Robotics Res. 17 (5) (1998)
Kenneth Kreutz-Delgado, Bhaskar D. Rao
Measures and algorithms for best basis selection. ICASSP (1998)
David DeMers, Kenneth Kreutz-Delgado
Canonical parameterization of excess motor degrees of freedom with self-organizing maps. IEEE Trans. Neural Networks 7 (1) (1996)
Daryush Agahi, Kenneth Kreutz-Delgado
Approximate dynamic decoupling of multilimbed robotic systems. IROS (3) (1995)
Kenneth Kreutz-Delgado, Daryush Agahi
A recursive singularity-robust Jacobian generalized inverse. IEEE Trans. Robotics Autom. 11 (6) (1995)
David DeMers, Kenneth Kreutz-Delgado
Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators. ICRA (1994)
Daryush Agahi, Kenneth Kreutz-Delgado
A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems. ICRA (1994)
David DeMers, Kenneth Kreutz-Delgado
Issues in Learning Global Properties of the Robot Kinematic Mapping. ICRA (1) (1993)
David DeMers, Kenneth Kreutz-Delgado
Global Regularization of Inverse Kinematics for Redundant Manipulators. NIPS (1992)
Guillermo Rodríguez, Kenneth Kreutz-Delgado
Spatial operator factorization and inversion of the manipulator mass matrix. IEEE Trans. Robotics Autom. 8 (1) (1992)
John T. Wen, Kenneth Kreutz-Delgado
Motion and force control of multiple robotic manipulators. Autom. 28 (4) (1992)
Kenneth Kreutz-Delgado, Abhinandan Jain, Guillermo Rodríguez
Recursive formulation of operational space control. ICRA (1991)
David DeMers, Kenneth Kreutz-Delgado
Learning Global Direct Inverse Kinematics. NIPS (1991)
Kenneth Kreutz-Delgado, Daryush Agahi, David DeMers
Operator approach to recursive Jacobian inversion and pseudoinversion. ICRA (1991)
Guillermo Rodríguez, Abhinandan Jain, Kenneth Kreutz-Delgado
A Spatial Operator Algebra for Manipulator Modeling and Control. Int. J. Robotics Res. 10 (4) (1991)
Kenneth Kreutz-Delgado, Mark K. Long, Homayoun Seraji
Kinematic analysis of 7 DOF anthropomorphic arms. ICRA (1990)
John T. Wen, Kenneth Kreutz-Delgado
Motion and force control for multiple cooperative manipulators. ICRA (1989)
Guillermo Rodríguez, Kenneth Kreutz-Delgado, Abhinandan Jain
A spatial operator algebra for manipulator modeling and control. ICRA (1989)