Tom Dupré La Tour Email and Phone Number

Interpretability

Sparse autoencoders

Research in neuroimaging, building methods to interpret brain representations.- Deep-learning-based brain encoding models in vision and natural language- Efficient hyper-parameter search on GPU for large multi-target models- Taxonomy of V4 neurons modeled with a custom deep-learning model architecture- Quantification of individual differences in encoding models using optimal transportAdvised by Jack Gallant.

Research in machine learning and signal processing, applied to neurophysiology.Thesis: Non-linear models for neurophysiological time series.Advised by Alexandre Gramfort and Yves Grenier.→ Best paper award - 1st prize (Université Paris-Saclay)→ Ph.D thesis award - 1st prize (Club EEA, GRETSI, GdR ISIS)

Research in computer vision, on blind deconvolution for motion deblurring.→ Dissertation highlighted for years as exemplary by Pierre Vandergheynst (ÉPFL)

Research in nano-electronic, on a calculus paradigm using stochastic binary signals.→ Summa cum laude (top 10% dissertation) (École polytechnique)

Lead a first responders unit at Paris Fire Department (full time job)→ 565 missions, 305 as a team leader