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Eva L. Dyer
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引用次数
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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
381*2022
Greedy feature selection for subspace clustering
EL Dyer, AC Sankaranarayanan, RG Baraniuk
Journal of Machine Learning Research 14 (1), 2487-2517, 2013
2012013
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
1052018
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
972018
Quantifying mesoscale neuroanatomy using X-ray microtomography
EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ...
eNeuro 4 (5), 2017
832017
Hierarchical optimal transport for multimodal distribution alignment
J Lee, M Dabagia, EL Dyer*, C Rozell*
Advances in Neural Information Processing Systems 32, 2019
672019
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
642021
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
492023
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
462021
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
36*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
34*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
222020
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
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
182020
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
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
Validation system of MR image overlay and other needle insertion techniques
GS Fischer, CR Weiss, EL Dyer, GF C Csoma, A Deguet
Medicine Meets Virtual Reality 15: In Vivo, in Vitro, in Silico: Designing …, 2007
15*2007
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