Kenneth Kreutz-Delgado

90 papers A* 7A 1B 2C 4Misc 6Journal 51Unranked 19

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