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awesome-bigdyl

A curated list of publications from BigDyL
https://github.com/bigdyl-kaist/awesome-bigdyl

Last synced: 5 days ago
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  • Papers by Topic

    • Differential Equation-based Deep Learning and Physics-informed Neural Networks

      • [Paper
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      • [Paper - Cho/Hyper-LR-PINN) <details><summary>BibTeX</summary><pre><code>@inproceedings{cho2023hyper,
      • [Paper - Process-Based-on-Controlled-Differential-Equations) <details><summary>BibTeX</summary><pre><code>@inproceedings{jo2023hawkes,
      • [Paper
      • [Paper - Cho/Parameterized-Physics-informed-Neural-Networks) <details><summary>BibTeX</summary><pre><code>@inproceedings{cho2024p2inn,
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      • [Paper - Cho/BFNO-NODE) <details><summary>BibTeX</summary><pre><code>@inproceedings{cho2024bfno,
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      • [Paper - Cho/AdamNODE) <details><summary>BibTeX</summary><pre><code>@article{cho2022adamnodes,
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      • [Paper - Diffusion-Equation) <details><summary>BibTeX</summary><pre><code>@inproceedings{hwang2021climate,
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      • [Paper - NRDE) <details><summary>BibTeX</summary><pre><code>@article{choi2023graph,
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    • Time Series/Spatiotemporal Synthesis, Forecasting, and Anomaly Detection

      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper
      • [Paper - jhin/pad) <details><summary>BibTeX</summary><pre><code>@inproceedings{jhin2023precursor,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
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      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@inproceedings{jhin2021attentive,
      • [Paper - jhin/ACE-NODE) <details><summary>BibTeX</summary><pre><code>@inproceedings{jhin2021ace,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/contime) <details><summary>BibTeX</summary><pre><code>@inproceedings{jhin2024contime,
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      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/EXIT) <details><summary>BibTeX</summary><pre><code>@inproceedings{jhin2022exit,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,
      • [Paper - jhin/ANCDE) <details><summary>BibTeX</summary><pre><code>@article{jhin2024attentive,

    • Graph Convolutional Networks

      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
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      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - NCDE) <details><summary>BibTeX</summary><pre><code>@inproceedings{choi2022graph,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,
      • [Paper - stage-gnn) <details><summary>BibTeX</summary><pre><code>@article{do2023two,

    • Miscellaneous

    • Recommendation (Collaborative Filtering and Sequential Recommendation)

      • [Paper - ae) <details><summary>BibTeX</summary><pre><code>@inproceedings{hong2024svdae,
      • [Paper - shin/BSARec) <details><summary>BibTeX</summary><pre><code>@inproceedings{shin2024bsarec,
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      • Best Student Paper Award
      • [Paper - jeon/lightmove) <details><summary>BibTeX</summary><pre><code>@inproceedings{jeon2021lightmove,
      • [Paper - OCF) <details><summary>BibTeX</summary><pre><code>@inproceedings{choi2021ltocf,

    • Deep Generative Models

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      • [Paper - Jeon/GT-GAN) <details><summary>BibTeX</summary><pre><code>@article{jeon2022gt,

    • Tabular Data Synthesis and Representation Learning

  • Papers by Year

Categories
Papers by Topic 112 Papers by Year 1
Sub Categories
Differential Equation-based Deep Learning and Physics-informed Neural Networks 29 Time Series/Spatiotemporal Synthesis, Forecasting, and Anomaly Detection 27 Graph Convolutional Networks 23 Miscellaneous 16 Recommendation (Collaborative Filtering and Sequential Recommendation) 7 Tabular Data Synthesis and Representation Learning 7 Deep Generative Models 3 2024 1