Kenneth Kreutz-Delgado

Orcid: 0000-0001-8135-6823

Affiliations:
  • University of California, San Diego, USA


According to our database1, Kenneth Kreutz-Delgado authored at least 82 papers between 1989 and 2021.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to sparse signal recovery algorithms and dictionary learning".

Timeline

Legend:

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Bibliography

2021
The open EEGLAB portal Interface: High-Performance computing with EEGLAB.
NeuroImage, 2021

Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors.
Neural Comput., 2021

Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR, 2021

Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations.
CoRR, 2021

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance.
CoRR, 2021

Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework.
CoRR, 2021

A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?
CoRR, 2021

An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling.
IEEE Access, 2021

2020
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?
Entropy, 2020

Computing Phase Amplitude Coupling in EEGLAB: PACTools.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.
NeuroImage, 2019

Measuring transient phase-amplitude coupling using local mutual information.
NeuroImage, 2019

Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task.
NeuroImage, 2019

AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Fast and robust Block-Sparse Bayesian learning for EEG source imaging.
NeuroImage, 2018

2017
Validation of periodic fMRI signals in response to wearable tactile stimulation.
NeuroImage, 2017

Crowd labeling latent Dirichlet allocation.
Knowl. Inf. Syst., 2017

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA.
CoRR, 2017

ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks.
CoRR, 2017

2016
Mapping Generative Models onto a Network of Digital Spiking Neurons.
IEEE Trans. Biomed. Circuits Syst., 2016

A nonparametric framework for quantifying generative inference on neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
Mapping Generative Models onto Networks of Digital Spiking Neurons.
CoRR, 2015

Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification.
CoRR, 2015

Gibbs sampling with low-power spiking digital neurons.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning.
IEEE Signal Process. Lett., 2014

Basis selection for maximally independent EEG sources.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference.
NeuroImage, 2013

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems.
CoRR, 2013

The linear process mixture model.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Robust joint sparse recovery on data with outliers.
Proceedings of the IEEE International Conference on Acoustics, 2013

Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Towards an EEG search engine.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Comparison of averaging and regression techniques for estimating Event Related Potentials.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Evolving Signal Processing for Brain-Computer Interfaces.
Proc. IEEE, 2012

Solid State Disk Object-Based Storage with Trim Commands
CoRR, 2012

Analysis of Trim Commands on Overprovisioning and Write Amplification in Solid State Drives
CoRR, 2012

A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A mathematical model of the trim command in NAND-flash SSDs.
Proceedings of the 50th Annual Southeast Regional Conference, 2012

2010
Strong Sub- and Super-Gaussianity.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A complex cross-spectral distribution model using Normal Variance Mean Mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Use of the Newton Method for Blind Adaptive Equalization Based on the Constant Modulus Algorithm.
IEEE Trans. Signal Process., 2008

Newton method for the ICA mixture model.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Learning Sparse Overcomplete Codes for Images.
J. VLSI Signal Process., 2007

Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning.
Neural Comput., 2007

Performance Evaluation of Latent Variable Models with Sparse Priors.
Proceedings of the IEEE International Conference on Acoustics, 2007

Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Algorithmic Tools for Adversarial Games: Intent Analysis Using Evolutionary Computation.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, 2007

2006
Super-Gaussian Mixture Source Model for ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Sparse solutions to linear inverse problems with multiple measurement vectors.
IEEE Trans. Signal Process., 2005

Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application.
J. Mach. Learn. Res., 2005

Variational EM Algorithms for Non-Gaussian Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2003
Subset selection in noise based on diversity measure minimization.
IEEE Trans. Signal Process., 2003

Dictionary Learning Algorithms for Sparse Representation.
Neural Comput., 2003

Control synthesis for a class of light and agile robotic tensegrity structures.
Proceedings of the American Control Conference, 2003

2002
Improved disk-drive failure warnings.
IEEE Trans. Reliab., 2002

Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries.
IEEE Signal Process. Lett., 2002

2001
Backward sequential elimination for sparse vector subset selection.
Signal Process., 2001

2000
Numerical solution of nonlinear 𝒽<sub>2</sub> and 𝒽<sub>∞</sub> control problems with application to jet engine compressors.
IEEE Trans. Control. Syst. Technol., 2000

1999
An affine scaling methodology for best basis selection.
IEEE Trans. Signal Process., 1999

Sparse basis selection, ICA, and majorization: towards a unified perspective.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Learning Global Properties of Nonredundant Kinematic Mappings.
Int. J. Robotics Res., 1998

Measures and algorithms for best basis selection.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Lip Posture Estimation using Kinematically Constrained Mixture Models.
Proceedings of the British Machine Vision Conference 1998, 1998

1996
Canonical parameterization of excess motor degrees of freedom with self-organizing maps.
IEEE Trans. Neural Networks, 1996

1995
A recursive singularity-robust Jacobian generalized inverse.
IEEE Trans. Robotics Autom., 1995

Approximate dynamic decoupling of multilimbed robotic systems.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1995

1994
Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994

A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994

1993
Issues in Learning Global Properties of the Robot Kinematic Mapping.
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993

1992
Spatial operator factorization and inversion of the manipulator mass matrix.
IEEE Trans. Robotics Autom., 1992

Motion and force control of multiple robotic manipulators.
Autom., 1992

Global Regularization of Inverse Kinematics for Redundant Manipulators.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
A Spatial Operator Algebra for Manipulator Modeling and Control.
Int. J. Robotics Res., 1991

Learning Global Direct Inverse Kinematics.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Recursive formulation of operational space control.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

Operator approach to recursive Jacobian inversion and pseudoinversion.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1990
Kinematic analysis of 7 DOF anthropomorphic arms.
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990

1989
Motion and force control for multiple cooperative manipulators.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989


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