Kenneth Kreutz-Delgado

University of California San Diego — United States

Computer Science · Physical Sciences

37h-index8.6kcitations125works0.02yr avg
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Research Topics

Blind Source Separation Techniques(37), Sparse and Compressive Sensing Techniques(27), Robotic Mechanisms and Dynamics(24), Neural dynamics and brain function(22), EEG and Brain-Computer Interfaces(14)

Publications125 total

Dictionaries in machine learning
Elsevier eBooks·2023· 2 cited
List of contributors
Elsevier eBooks·2023
Learning from learning machines: a new generation of AI technology to meet the needs of science
arXiv (Cornell University)·2021· 3 citedOpen Access
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations
arXiv (Cornell University)·2021· 7 citedOpen Access
Tuning Confidence Bound for Stochastic Bandits with Bandit Distance
arXiv (Cornell University)·2021· 1 citedOpen Access
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors
Neural Computation·2021· 36 citedOpen Access
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework
arXiv (Cornell University)·2021Open Access
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?
arXiv (Cornell University)·2021· 8 citedOpen Access
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?
Entropy·2020· 16 citedOpen Access
What Can Local Transfer Entropy Tell us About Phase-amplitude Coupling in Electrophysiological Signals?
Preprints.org·2020· 5 citedOpen Access
Computing Phase Amplitude Coupling in EEGLAB: PACTools
2020· 10 cited
The open EEGLAB portal Interface: High-Performance computing with EEGLAB
NeuroImage·2020· 66 citedOpen Access
A Bayesian framework for unifying data cleaning, source separation and imaging of electroencephalographic signals
2019· 13 citedOpen Access
Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task
NeuroImage·2018· 14 citedOpen Access
Fast and robust Block-Sparse Bayesian learning for EEG source imaging
NeuroImage·2018· 63 cited
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
arXiv (Cornell University)·2017· 42 citedOpen Access
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks
arXiv (Cornell University)·2017· 3 citedOpen Access
Validation of periodic fMRI signals in response to wearable tactile stimulation
NeuroImage·2017· 23 citedOpen Access
A nonparametric framework for quantifying generative inference on neuromorphic systems
2016· 2 citedOpen Access
A Nonparametric Framework for Quantifying Generative Inference on\n Neuromorphic Systems
arXiv (Cornell University)·2016Open Access
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Frequent Co-authors

Bhaskar D. Rao(13), Scott Makeig(9), Joseph F. Murray(8), Shane F. Cotter(4), Jason Palmer(4), G. Rodríguez(4), Tim Mullen(4), Nima Bigdely-Shamlo(4), Kjersti Engan(3), John T. Wen(3), Gordon F. Hughes(3), Abhinandan Jain(3), Michael Hardt(3), Terrence J. Sejnowski(2), Curtis Padgett(2), Srinjoy Das(2), Gert Cauwenberghs(2), Christian Kothe(2), Mark K. Long(2), H. Seraji(2)