gcorlouer
Researcher in AI safety and interpretability. Background in computational neuroscience and mathematics.
Sackler center for consciousness scienceUK
Pinned Repositories
ARENA_3.0_gui
course-content
Summer course content for Neuromatch Academy
CV
deep_predict_time_series
deeplearning.ai
Some work of Andrew Ng's course on Coursera
eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
gcorlouer.github.io
granger_causality_on_ECoG
Repo for cifar project
SLTforSGD
Run SGD on 1D and 2D singular models
maze-transformer
This repo is built to facilitate the training and analysis of autoregressive transformers on maze-solving tasks.
gcorlouer's Repositories
gcorlouer/SLTforSGD
Run SGD on 1D and 2D singular models
gcorlouer/course-content
Summer course content for Neuromatch Academy
gcorlouer/CV
gcorlouer/deep_predict_time_series
gcorlouer/deeplearning.ai
Some work of Andrew Ng's course on Coursera
gcorlouer/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
gcorlouer/gcorlouer.github.io
gcorlouer/granger_causality_on_ECoG
Repo for cifar project
gcorlouer/Integrable-spin-chains
This is my naster thesis in statistical physics. Unfortunatly I have lost the bibliography.
gcorlouer/MVGC2
The MVGC Multivariate Granger Causality toolbox (Version 2) for Granger-causal inference from time-series data. CURRENTLY IN EARLY DEVELOPMENT - UNTESTED!
gcorlouer/optimal_ai_philanthropy
gcorlouer/sgd_on_singularities
Explore SGD on singular models
gcorlouer/Master-thesis
This is my Master thesis in pure mathematics, written in French.
gcorlouer/optimal_philanthropy
gcorlouer/Quantum-groups-knot-theory-and-statistical-physics
This are some notes I wrote about relations between quantum groups, knot theory and integrable models in statistical physics. Some illustration are missing.
gcorlouer/sgd_on_poly_models
gcorlouer/statsmodels
Statsmodels: statistical modeling and econometrics in Python