Motion and force control for multiple cooperative manipulators. - John T. Wen; Kenneth Kreutz-Delgado (ICRA, 1989)

Kinematic analysis of 7 DOF anthropomorphic arms. - Kenneth Kreutz-Delgado; Mark K. Long; Homayoun Seraji (ICRA, 1990)

Operator approach to recursive Jacobian inversion and pseudoinversion. - Kenneth Kreutz-Delgado; Daryush Agahi; David DeMers (ICRA, 1991)

Recursive formulation of operational space control. - Kenneth Kreutz-Delgado; Abhinandan Jain; Guillermo Rodríguez 003 (ICRA, 1991)

Learning Global Direct Inverse Kinematics. - David DeMers; Kenneth Kreutz-Delgado (NIPS, 1991)

A Spatial Operator Algebra for Manipulator Modeling and Control. - Guillermo Rodríguez 003; Abhinandan Jain; Kenneth Kreutz-Delgado (Int. J. Robotics Res., 1991)

Global Regularization of Inverse Kinematics for Redundant Manipulators. - David DeMers; Kenneth Kreutz-Delgado (NIPS, 1992)

Motion and force control of multiple robotic manipulators. - John T. Wen; Kenneth Kreutz-Delgado (Autom., 1992)

Spatial operator factorization and inversion of the manipulator mass matrix. - Guillermo Rodríguez 003; Kenneth Kreutz-Delgado (IEEE Trans. Robotics Autom., 1992)

Issues in Learning Global Properties of the Robot Kinematic Mapping. - David DeMers; Kenneth Kreutz-Delgado (ICRA (1), 1993)

A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems. - Daryush Agahi; Kenneth Kreutz-Delgado (ICRA, 1994)

Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators. - David DeMers; Kenneth Kreutz-Delgado (ICRA, 1994)

Approximate dynamic decoupling of multilimbed robotic systems. - Daryush Agahi; Kenneth Kreutz-Delgado (IROS (3), 1995)

A recursive singularity-robust Jacobian generalized inverse. - Kenneth Kreutz-Delgado; Daryush Agahi (IEEE Trans. Robotics Autom., 1995)

Canonical parameterization of excess motor degrees of freedom with self-organizing maps. - David DeMers; Kenneth Kreutz-Delgado (IEEE Trans. Neural Networks, 1996)

Lip Posture Estimation using Kinematically Constrained Mixture Models. - Patrick H. Kelly; Edward Hunter; Kenneth Kreutz-Delgado; Ramesh C. Jain (BMVC, 1998)

Measures and algorithms for best basis selection. - Kenneth Kreutz-Delgado; Bhaskar D. Rao (ICASSP, 1998)

Learning Global Properties of Nonredundant Kinematic Mappings. - David DeMers; Kenneth Kreutz-Delgado (Int. J. Robotics Res., 1998)

Sparse basis selection, ICA, and majorization: towards a unified perspective. - Kenneth Kreutz-Delgado; Bhaskar D. Rao (ICASSP, 1999)

An affine scaling methodology for best basis selection. - Bhaskar D. Rao; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 1999)

Numerical solution of nonlinear 𝒽2 and 𝒽∞ control problems with application to jet engine compressors. - Michael Hardt; J. William Helton; Kenneth Kreutz-Delgado (IEEE Trans. Control. Syst. Technol., 2000)

Backward sequential elimination for sparse vector subset selection. - Shane F. Cotter; Kenneth Kreutz-Delgado; Bhaskar D. Rao (Signal Process., 2001)

Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries. - Shane F. Cotter; Kenneth Kreutz-Delgado; Bhaskar D. Rao (IEEE Signal Process. Lett., 2002)

Improved disk-drive failure warnings. - Gordon F. Hughes; Joseph F. Murray; Kenneth Kreutz-Delgado; Charles Elkan (IEEE Trans. Reliab., 2002)

Control synthesis for a class of light and agile robotic tensegrity structures. - Jack B. Aldrich; Robert E. Skelton; Kenneth Kreutz-Delgado (ACC, 2003)

Dictionary Learning Algorithms for Sparse Representation. - Kenneth Kreutz-Delgado; Joseph F. Murray; Bhaskar D. Rao; Kjersti Engan; Te-Won Lee; Terrence J. Sejnowski (Neural Comput., 2003)

Subset selection in noise based on diversity measure minimization. - Bhaskar D. Rao; Kjersti Engan; Shane F. Cotter; Jason A. Palmer; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 2003)

Variational EM Algorithms for Non-Gaussian Latent Variable Models. - Jason A. Palmer; David P. Wipf; Kenneth Kreutz-Delgado; Bhaskar D. Rao (NIPS, 2005)

Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. - Joseph F. Murray; Gordon F. Hughes; Kenneth Kreutz-Delgado (J. Mach. Learn. Res., 2005)

Sparse solutions to linear inverse problems with multiple measurement vectors. - Shane F. Cotter; Bhaskar D. Rao; Kjersti Engan; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 2005)

Super-Gaussian Mixture Source Model for ICA. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (ICA, 2006)

Algorithmic Tools for Adversarial Games: Intent Analysis Using Evolutionary Computation. - Tasha Vanesian; Kenneth Kreutz-Delgado (CISDA, 2007)

Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. - Jason A. Palmer; Kenneth Kreutz-Delgado; Bhaskar D. Rao; Scott Makeig (ICA, 2007)

Performance Evaluation of Latent Variable Models with Sparse Priors. - David P. Wipf; Jason A. Palmer; Bhaskar D. Rao; Kenneth Kreutz-Delgado (ICASSP (2), 2007)

Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. - Joseph F. Murray; Kenneth Kreutz-Delgado (Neural Comput., 2007)

Learning Sparse Overcomplete Codes for Images. - Joseph F. Murray; Kenneth Kreutz-Delgado (J. VLSI Signal Process., 2007)

Newton method for the ICA mixture model. - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado; Bhaskar D. Rao (ICASSP, 2008)

Use of the Newton Method for Blind Adaptive Equalization Based on the Constant Modulus Algorithm. - Kenneth Kreutz-Delgado; Yogananda Isukapalli (IEEE Trans. Signal Process., 2008)

A complex cross-spectral distribution model using Normal Variance Mean Mixtures. - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado (ICASSP, 2009)

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (ICA, 2009)

Strong Sub- and Super-Gaussianity. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (LVA/ICA, 2010)

A mathematical model of the trim command in NAND-flash SSDs. - Tasha Frankie; Gordon F. Hughes; Kenneth Kreutz-Delgado (ACM Southeast Regional Conference, 2012)

A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. - Cheng Cao; Zeynep Akalin Acar; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2012)

Analysis of Trim Commands on Overprovisioning and Write Amplification in Solid State Drives - Tasha Frankie; Gordon F. Hughes; Kenneth Kreutz-Delgado (CoRR, 2012)

Solid State Disk Object-Based Storage with Trim Commands - Tasha Frankie; Gordon F. Hughes; Kenneth Kreutz-Delgado (CoRR, 2012)

Evolving Signal Processing for Brain-Computer Interfaces. - Scott Makeig; Christian Kothe; Tim R. Mullen; Nima Bigdely Shamlo; Zhilin Zhang 002; Kenneth Kreutz-Delgado (Proc. IEEE, 2012)

Comparison of averaging and regression techniques for estimating Event Related Potentials. - Matthew D. Burns; Nima Bigdely Shamlo; Nathaniel J. Smith; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2013)

EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Christian Kothe; Scott Makeig (EMBC, 2013)

Towards an EEG search engine. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Christian Kothe; Scott Makeig (GlobalSIP, 2013)

Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Kay Robbins; Makoto Miyakoshi; Marissa Westerfield; Tarik Bel-Bahar; Christian Kothe; Jessica Hsi; Scott Makeig (GlobalSIP, 2013)

Robust joint sparse recovery on data with outliers. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (ICASSP, 2013)

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. - Bruno U. Pedroni; Srinjoy Das; Emre Neftci; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IJCNN, 2013)

The linear process mixture model. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (MLSP, 2013)

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. - Emre Neftci; Srinjoy Das; Bruno U. Pedroni; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2013)

Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. - Nima Bigdely Shamlo; Tim R. Mullen; Kenneth Kreutz-Delgado; Scott Makeig (NeuroImage, 2013)

Basis selection for maximally independent EEG sources. - Ozgur Balkan; Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2014)

Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (IEEE Signal Process. Lett., 2014)

Gibbs sampling with low-power spiking digital neurons. - Srinjoy Das; Bruno Umbria Pedroni; Paul Merolla; John V. Arthur; Andrew S. Cassidy; Bryan L. Jackson; Dharmendra S. Modha; Gert Cauwenberghs; Kenneth Kreutz-Delgado (ISCAS, 2015)

Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (CoRR, 2015)

Mapping Generative Models onto Networks of Digital Spiking Neurons. - Bruno U. Pedroni; Srinjoy Das; John V. Arthur; Paul Merolla; Bryan L. Jackson; Dharmendra S. Modha; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2015)

A nonparametric framework for quantifying generative inference on neuromorphic systems. - Ojash Neopane; Srinjoy Das; Ery Arias-Castro; Kenneth Kreutz-Delgado (ISCAS, 2016)

Mapping Generative Models onto a Network of Digital Spiking Neurons. - Bruno U. Pedroni; Srinjoy Das; John V. Arthur; Paul A. Merolla; Bryan L. Jackson; Dharmendra S. Modha; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IEEE Trans. Biomed. Circuits Syst., 2016)

ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. - Xiaojing Xu; Srinjoy Das; Kenneth Kreutz-Delgado (CoRR, 2017)

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. - Xinyu Zhang 009; Srinjoy Das; Ojash Neopane; Kenneth Kreutz-Delgado (CoRR, 2017)

Crowd labeling latent Dirichlet allocation. - Luca Pion-Tonachini; Scott Makeig; Kenneth Kreutz-Delgado (Knowl. Inf. Syst., 2017)

Validation of periodic fMRI signals in response to wearable tactile stimulation. - Ching-Fu Chen; Kenneth Kreutz-Delgado; Martin I. Sereno; Ruey-Song Huang (NeuroImage, 2017)

Fast and robust Block-Sparse Bayesian learning for EEG source imaging. - Alejandro Ojeda; Kenneth Kreutz-Delgado; Tim R. Mullen (NeuroImage, 2018)

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. - Alexander Potapov; Ian Colbert; Kenneth Kreutz-Delgado; Alexander Cloninger; Srinjoy Das (ACSSC, 2019)

AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. - Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (IJCNN, 2019)

Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. - Ching-Fu Chen; Kenneth Kreutz-Delgado; Martin I. Sereno; Ruey-Song Huang (NeuroImage, 2019)

Measuring transient phase-amplitude coupling using local mutual information. - Ramón Martínez-Cancino; Joseph Heng; Arnaud Delorme; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (NeuroImage, 2019)

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. - Luca Pion-Tonachini; Kenneth Kreutz-Delgado; Scott Makeig (NeuroImage, 2019)

Computing Phase Amplitude Coupling in EEGLAB: PACTools. - Ramón Martínez-Cancino; Arnaud Delorme; Kenneth Kreutz-Delgado; Scott Makeig (BIBE, 2020)

What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? - Ramón Martínez-Cancino; Arnaud Delorme; Johanna Wagner; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (Entropy, 2020)

An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. - Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (IEEE Access, 2021)

A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? - Ian Colbert; Jake Daly; Kenneth Kreutz-Delgado; Srinjoy Das (CoRR, 2021)

Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. - Siqiao Ruan; Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (CoRR, 2021)

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. - Xinyu Zhang 009; Srinjoy Das; Kenneth Kreutz-Delgado (CoRR, 2021)

Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. - Xinyu Zhang 009; Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (CoRR, 2021)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - 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; et al. (CoRR, 2021)

Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors. - Alejandro Ojeda; Kenneth Kreutz-Delgado; Jyoti Mishra (Neural Comput., 2021)

The open EEGLAB portal Interface: High-Performance computing with EEGLAB. - Ramón Martínez-Cancino; Arnaud Delorme; Dung Truong; Fiorenzo Artoni; Kenneth Kreutz-Delgado; Subhashini Sivagnanam; Kenneth Yoshimoto; Amitava Majumdar 001; Scott Makeig (NeuroImage, 2021)