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Tom Dupré la Tour
Tom Dupré la Tour
OpenAI
Zweryfikowany adres z openai.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Scaling and evaluating sparse autoencoders
L Gao, T Dupré la Tour, H Tillman, G Goh, R Troll, A Radford, I Sutskever, ...
arXiv preprint arXiv:2406.04093, 2024
127*2024
Feature-space selection with banded ridge regression
T Dupré la Tour, M Eickenberg, A Nunez-Elizalde, JL Gallant
NeuroImage 264, 119728, 2022
792022
Non-linear auto-regressive models for cross-frequency coupling in neural time series
T Dupré la Tour, L Tallot, L Grabot, V Doyère, V Van Wassenhove, ...
PLoS computational biology 13 (12), e1005893, 2017
66*2017
Multivariate convolutional sparse coding for electromagnetic brain signals
T Dupré la Tour*, T Moreau*, M Jas, A Gramfort
Advances in Neural Information Processing Systems (NeurIPS), 3292-3302, 2018
642018
Learning the morphology of brain signals using alpha-stable convolutional sparse coding
M Jas*, T Dupré la Tour*, U Simsekli, A Gramfort
Advances in Neural Information Processing Systems (NeurIPS), 1099-1108, 2017
622017
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Charlier, M Dagréou, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
452022
The strength of alpha-beta oscillatory coupling predicts motor timing precision
L Grabot, TW Kononowicz, T Dupré la Tour, A Gramfort, V Doyère, ...
Journal of Neuroscience, 2473-18, 2019
352019
Semantic representations during language comprehension are affected by context
F Deniz, C Tseng, L Wehbe, T Dupré la Tour, JL Gallant
Journal of Neuroscience, 2023
292023
Scikit-learn
SL Developers
Machine Learning in Python. Available online: https://scikit-learn. org …, 2021
292021
scikit-learn/scikit-learn: Scikit-learn 0.22
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2020
19*2020
The cortical representation of language timescales is shared between reading and listening
C Chen, T Dupré la Tour, J Gallant, D Klein, F Deniz
Communications Biology, 2024
12*2024
scikit-learn/scikit-learn: Scikit-learn 1.4. 0
O Grisel, A Mueller, A Gramfort, G Louppe, TJ Fan, P Prettenhofer, ...
Zenodo, 2024
102024
A finer mapping of convolutional neural network layers to the visual cortex
T Dupré la Tour, M Lu, M Eickenberg, JL Gallant
Advances in Neural Information Processing Systems (NeurIPS), SVRHM Workshop, 2021
9*2021
Transformer debugger
D Mossing, S Bills, H Tillman, T Dupré la Tour, N Cammarata, L Gao, ...
82024
Gallant Lab Natural Short Clips 3T fMRI Data
AG Huth, S Nishimoto, AT Vu, T Dupré la Tour, JL Gallant
52022
scikit-learn-contrib/skope-rules v1. 0.1
N Goix, V Birodkar, F Gardin, J Schertzer, H Jeong, M Kumar, A Gramfort, ...
Archived software repository at https://doi. org/10.5281/zenodo 4316671, 2020
52020
Pymoten: motion energy features from video using a pyramid of spatio-temporal gabor filters
A Nunez-Elizalde, F Deniz, T Dupré la Tour, MVO Castello, JL Gallant
42021
Non-linear models for neurophysiological time series
T Dupré la Tour
Université Paris-Saclay, 2018
4*2018
Parametric estimation of spectrum driven by an exogenous signal
T Dupré la Tour, Y Grenier, A Gramfort
42nd IEEE International Conference on Acoustics, Speech and Signal …, 2017
32017
Driver estimation in non-linear autoregressive models
T Dupré la Tour, Y Grenier, A Gramfort
43nd IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
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