Jeongwhan Choi's repositories
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
neural_stpp
Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.
learnable_fourier_positional_encoding
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
neural-flows-experiments
Experiments for Neural Flows paper
Non-Homophily-Benchmarks
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
Neural-Diffusion-Equation
Climate Modeling with Neural Diffusion Equation, ICDM'21
awesome-survey-papers
A collection of Survey Papers in Machine Learning
morphogenesis-resources
Comprehensive list of resources on the topic of digital morphogenesis (the creation of form through code). Includes links to major articles, code repos, creative projects, books, software, and more.
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
DL4DisassortativeGraphs
Papers about developing DL methods on disassortative graphs
homophily-and-heterophily-in-gnn
Reading list of papers (basically are conference papers) about homophily and heterophily in GNNs.
fast-transformer-pytorch
Implementation of Fast Transformer in Pytorch
neural-structural-optimization
Neural reparameterization improves structural optimization
cikm2021cope
Codes and data for CIKM2021 submission