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Eva L. Dyer
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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
447*2022
Greedy feature selection for subspace clustering
EL Dyer, AC Sankaranarayanan, RG Baraniuk
Journal of Machine Learning Research 14 (1), 2487-2517, 2013
2072013
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
1082018
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
1032018
Quantifying mesoscale neuroanatomy using X-ray microtomography
EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ...
eNeuro 4 (5), 2017
842017
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
722021
Hierarchical optimal transport for multimodal distribution alignment
J Lee, M Dabagia, EL Dyer*, C Rozell*
Advances in Neural Information Processing Systems 32, 2019
702019
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
632017
De novo evolution of macroscopic multicellularity
GO Bozdag, SA Zamani-Dahaj, TC Day, PC Kahn, AJ Burnetti, DT Lac, ...
Nature, pp.1-8, 2023
512023
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
492021
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
Aligning latent representations of neural activity
M Dabagia, KP Kording, EL Dyer
Nature Biomedical Engineering, 2023
38*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
37*2021
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
232020
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
192020
Self-expressive decompositions for matrix approximation and clustering
EL Dyer, TA Goldstein, R Patel, KP Kording, RG Baraniuk
arXiv preprint arXiv:1505.00824, 2015
192015
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
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
182013
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
162023
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
16*2017
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Artikelen 1–20