| 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 | 201 | 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 | 105 | 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 | 97 | 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 | 83 | 2017 |
| Hierarchical optimal transport for multimodal distribution alignment J Lee, M Dabagia, EL Dyer*, C Rozell* Advances in Neural Information Processing Systems 32, 2019 | 67 | 2019 |
| 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 | 64 | 2021 |
| 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 | 63 | 2017 |
| De novo evolution of macroscopic multicellularity GO Bozdag, SA Zamani-Dahaj, TC Day, PC Kahn, AJ Burnetti, DT Lac, ... Nature, pp.1-8, 2023 | 49 | 2023 |
| 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 | 46 | 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 |
| 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 | 22 | 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 |
| 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 | 18 | 2020 |
| 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 | 18 | 2013 |
| 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 |
Mehdi AzabouGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
