Eva L. Dyer

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Mehdi AzabouColumbia UniversityDirección de correo verificada de columbia.edu
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBDirección de correo verificada de upenn.edu
Mohammad Gheshlaghi AzarCohereDirección de correo verificada de cohere.com
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityDirección de correo verificada de rice.edu
Ran LiuApple AIML, Georgia TechDirección de correo verificada de gatech.edu
Michal ValkoLlama @ Meta Paris & Inria & MVA - Ex: Gemini and BYOL @ Google DeepMindDirección de correo verificada de meta.com
Keith HengenWashington University In Saint LouisDirección de correo verificada de wustl.edu
Shantanu ThakoorResearch Engineer at DeepMindDirección de correo verificada de google.com
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryDirección de correo verificada de jhu.edu
Doğa GürsoyArgonne National LaboratoryDirección de correo verificada de anl.gov
Chi-Heng LinSamsung Research America || Georgia Institute of TechnologyDirección de correo verificada de gatech.edu
Max DabagiaComputer Science, Georgia TechDirección de correo verificada de gatech.edu
Aishwarya BalwaniGeorgia Institute of TechnologyDirección de correo verificada de gatech.edu
Petar VeličkovićSenior Staff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgeDirección de correo verificada de google.com
Judy A PrasadUniversity of North Carolina at Chapel Hill | KickStart Venture ServicesDirección de correo verificada de unc.edu
Vincent De AndradeArgonne National LaboratoryDirección de correo verificada de anl.gov
Rémi MunosGoogle DeepMindDirección de correo verificada de inria.fr
Lee E. MillerProfessor of Neuroscience, Physical Medicine and Rehabilitation, Biomedical EngineeringDirección de correo verificada de northwestern.edu
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Chethan PandarinathEmory University and Georgia Tech, Meta Reality LabsDirección de correo verificada de emory.edu

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Eva L. Dyer

Georgia Institute of Technology

Dirección de correo verificada de gatech.edu - Página principal

Computational Neuroscience Machine Learning Signal Processing Self-Supervised Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Large-scale representation learning on graphs via bootstrapping S Thakoor, C Tallec, MG Azar, M Azabou, EL Dyer, R Munos, P Veličković, ... International Conference on Learning Representations (ICLR), 2022	475*	2022
Greedy feature selection for subspace clustering EL Dyer, AC Sankaranarayanan, RG Baraniuk Journal of Machine Learning Research 14 (1), 2487-2517, 2013	208	2013
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	112	2018
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	103	2018
Quantifying mesoscale neuroanatomy using X-ray microtomography EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ... eNeuro 4 (5), 2017	87	2017
Neural Latents Benchmark'21: Evaluating latent variable models of neural population activity F Pei, J Ye, D Zoltowski, A Wu, RH Chowdhury, H Sohn, JE O'Doherty, ... Advances in Neural Information Processing Systems 34, Datasets and …, 2021	81	2021
Hierarchical optimal transport for multimodal distribution alignment J Lee, M Dabagia, EL Dyer, C Rozell Advances in Neural Information Processing Systems 32, 2019	78	2019
A cryptography-based approach for movement decoding EL Dyer, M Gheshlaghi Azar, MG Perich, HL Fernandes, S Naufel, ... Nature Biomedical Engineering 1 (12), 967-976, 2017	64	2017
Mine your own view: Self-supervised learning through across-sample prediction M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ... Advances in Neural Information Processing Systems (NeurIPS) Workshop on Self …, 2021	54	2021
De novo evolution of macroscopic multicellularity GO Bozdag, SA Zamani-Dahaj, TC Day, PC Kahn, AJ Burnetti, DT Lac, ... Nature, pp.1-8, 2023	53	2023
Aligning latent representations of neural activity M Dabagia, KP Kording, EL Dyer Nature Biomedical Engineering, 2023	41*	2023
Drop, swap, and generate: A self-supervised approach for generating neural activity R Liu, M Azabou, M Dabagia, CH Lin, M Gheshlaghi Azar, K Hengen, ... Advances in neural information processing systems 34, 10587-10599, 2021	40*	2021
Rapid FPGA characterization using clock synthesis and signal sparsity M Majzoobi, EL Dyer, A Elnably, F Koushanfar IEEE International Test Conference (ITC), 2010	40*	2010
A unified, scalable framework for neural population decoding M Azabou, V Arora, V Ganesh, X Mao, S Nachimuthu, MJ Mendelson, ... Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023	24	2023
Pyglmnet: Python implementation of elastic-net regularized generalized linear models M Jas, T Achakulvisut, A Idrizović, D Acuna, M Antalek, V Marques, ... Journal of Open Source Software 5 (47), 2020	23	2020
Half-Hop: A graph upsampling approach for slowing down message passing M Azabou, V Ganesh, S Thakoor, CH Lin, L Sathidevi, R Liu, M Valko, ... International Conference on Machine Learning (ICML), 2023	20	2023
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	19	2020
Self-expressive decompositions for matrix approximation and clustering EL Dyer, TA Goldstein, R Patel, KP Kording, RG Baraniuk arXiv preprint arXiv:1505.00824, 2015	19	2015
Making transport more robust and interpretable by moving data through a small number of anchor points CH Lin, M Azabou, EL Dyer International Conference on Machine Learning (ICML) 139, 6631, 2021	18	2021
Deterministic column sampling for low-rank matrix approximation: Nyström vs. incomplete Cholesky decomposition R Patel, T Goldstein, EL Dyer, A Mirhoseini, R Baraniuk Proceedings of the 2016 SIAM international conference on data mining, 594-602, 2016	18*	2016

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