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Test-Time Training with Masked Autoencoders
Final project report for the course Object Recognition and Computer Vision at MVA
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Probabilistic PCA and CCA and applications to missing data
Final project report for the course Introduction to Probabilistic Graphical Models and Deep Latent Variable Models at MVA
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ImageNet-Sketch classification challenge
Kaggle challenge from the course Object Recognition and Computer Vision at MVA
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ecDNA copy number dynamics
From my 4-months research internship at Columbia University, in the Irving Institute for Cancer Dynamics (IICD)
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Simulated annealing applied to the traveling salesman problem
Report of my TIPE project for the ENS entrance exam
