Eva L. Dyer

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Richard BaraniukVictor E. Cameron Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Konrad Paul KordingUniversity Professor (PIK), bioengineering and neuroscience, UPennVerified email at upenn.edu
Doga GursoyArgonne National Laboratory; Northwestern UniversityVerified email at anl.gov
Narayanan KasthuriUniversity of ChicagoVerified email at anl.gov
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
Vincent De AndradeArgonne National LaboratoryVerified email at anl.gov
Judy A PrasadUniversity of North Carolina at Chapel Hill | KickStart Venture ServicesVerified email at unc.edu
Mohammad Gheshlaghi AzarResearch Scientist at DeepMindVerified email at google.com
Aswin C SankaranarayananAssociate Professor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Chris JacobsenArgonne National Laboratory; Northwestern UniversityVerified email at northwestern.edu
Farinaz KoushanfarProfessor and Henry Booker Faculty Scholar of ECE, UC San DiegoVerified email at ucsd.edu
Aishwarya BalwaniGeorgia Institute of TechnologyVerified email at gatech.edu
Azalia MirhoseiniResearch Scientist, Google BrainVerified email at google.com
Hugo FernandesSenior Data Scientist, Rockets of AwesomeVerified email at rocketsofawesome.com
Lee E. MillerProfessor of Physiology, Physical Medicine and Rehabilitation, Biomedical Engineering, NorthwesternVerified email at northwestern.edu
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Max DabagiaComputer Science, Georgia TechVerified email at gatech.edu
Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Mark A. DavenportAssociate Professor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu

Eva L. Dyer

Georgia Institute of Technology

Verified email at gatech.edu - Homepage

Computational Neuroscience Machine Learning Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Greedy feature selection for subspace clustering EL Dyer, AC Sankaranarayanan, RG Baraniuk Journal of Machine Learning Research 14 (1), 2487-2517, 2013	187	2013
Quantifying mesoscale neuroanatomy using X-ray microtomography EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ... Eneuro 4 (5), 2017	52	2017
Low-dose x-ray tomography through a deep convolutional neural network X Yang, V De Andrade, W Scullin, EL Dyer, N Kasthuri, F De Carlo, ... Scientific reports 8 (1), 1-13, 2018	44	2018
Latent factors and dynamics in motor cortex and their application to brain–machine interfaces C Pandarinath, KC Ames, AA Russo, A Farshchian, LE Miller, EL Dyer, ... Journal of Neuroscience 38 (44), 9390-9401, 2018	41	2018
Rapid FPGA characterzation using clock synthesis and signal sparsity M Majzoobi, E Dyer, A Elnably, F Koushanfar IEEE International Test Conference (ITC), Austin, TX, 2010	34*	2010
A cryptography-based approach for movement decoding EL Dyer, MG Azar, MG Perich, HL Fernandes, S Naufel, LE Miller, ... Nature biomedical engineering 1 (12), 967-976, 2017	25	2017
Hierarchical optimal transport for multimodal distribution alignment J Lee, M Dabagia, EL Dyer, CJ Rozell arXiv preprint arXiv:1906.11768, 2019	17	2019
Self-expressive decompositions for matrix approximation and clustering EL Dyer, TA Goldstein, R Patel, KP Kording, RG Baraniuk arXiv preprint arXiv:1505.00824, 2015	17	2015
Deterministic column sampling for low-rank matrix approximation: Nyström vs. incomplete Cholesky decomposition R Patel, T Goldstein, E Dyer, A Mirhoseini, R Baraniuk Proceedings of the 2016 SIAM international conference on data mining, 594-602, 2016	15*	2016
RankMap: A Framework for Distributed Learning From Dense Data Sets A Mirhoseini, EL Dyer, EM Songhori, R Baraniuk, F Koushanfar IEEE transactions on neural networks and learning systems 29 (7), 2717-2730, 2017	14*	2017
A robust and efficient method to recover neural events from noisy and corrupted data EL Dyer, C Studer, JT Robinson, RG Baraniuk 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 593-596, 2013	13	2013
Recovering spikes from noisy neuronal calcium signals via structured sparse approximation EL Dyer, MF Duarte, DH Johnson, RG Baraniuk International Conference on Latent Variable Analysis and Signal Separation …, 2010	11	2010
Validation system of MR image overlay and other needle insertion techniques JD Westwood Medicine Meets Virtual Reality 15: In Vivo, in Vitro, in Silico: Designing …, 2007	11*	2007
Approximating cellular densities from high-resolution neuroanatomical imaging data TJ LaGrow, MG Moore, JA Prasad, MA Davenport, EL Dyer 2018 40th Annual International Conference of the IEEE Engineering in …, 2018	10	2018
Subspace clustering with dense representations EL Dyer, C Studer, RG Baraniuk 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	10	2013
Generative models and abstractions for large-scale neuroanatomy datasets D Rolnick, EL Dyer Current opinion in neurobiology 55, 112-120, 2019	9	2019
Large-scale neuroanatomy using LASSO: loop-based automated serial sectioning operation TJ Lee, A Kumar, AH Balwani, D Brittain, S Kinn, CA Tovey, EL Dyer, ... PloS one 13 (10), e0206172, 2018	7	2018
Mine your own view: Self-supervised learning through across-sample prediction M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ... arXiv preprint arXiv:2102.10106, 2021	6	2021
Toward a reproducible, scalable framework for processing large neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... BioRxiv, 615161, 2019	6	2019
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity JA Prasad, AH Balwani, EC Johnson, JD Miano, V Sampathkumar, ... Scientific Data 7 (1), 1-7, 2020	5	2020

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