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 (MontrΓ©al, 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.