Xavier Mootoo's Projects
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Exploring the link between gene expression and left-handedness.
Applying the Graph Discrete Fourier Transform to EEG data for Alzheimer Disease detection.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
100 exercises to learn JAX
Classifying hawk species using K-Means clustering algorithm.
Examining aggression-related traits within the context of household income and income-inequality using linear mixed effects regression.
Machine Learning for Drug Discovery School 2024 (Montréal, QC).
Hackathon code at the Machine Learning for Drug Discovery School (ML4DD).
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
A blind reproduction of PatchTST model for time series forecasting.
About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861
Self-supervised learning with graph neural network backbones for seizure detection in iEEG data.
A universal time series representation learning framework
Solutions to the Xanadu Quantum Codebook codercises.
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