| ---
|
| license: mit
|
| ---
|
|
|
| # DDBC Checkpoints
|
|
|
| This repository provides pretrained checkpoints for **DDBC (Discrete Diffusion for Bundle Construction)**.
|
|
|
| The checkpoints correspond to models trained on the following datasets:
|
|
|
| - **pog_dense**
|
| - **spotify30**
|
| - **spotify60**
|
| - **spotify90**
|
|
|
| ## Paper
|
|
|
| For details about the method, please refer to the paper:
|
|
|
| **Discrete Diffusion for Bundle Construction**
|
| ICLR 2026
|
|
|
| OpenReview:
|
| https://openreview.net/forum?id=dKyhgfe50H
|
|
|
| ## Code
|
|
|
| The official implementation is available on GitHub:
|
|
|
| https://github.com/241416/DDBC
|
|
|
| ## Checkpoints
|
|
|
| The following pretrained checkpoints are included in this repository:
|
|
|
| | Dataset | Checkpoint |
|
| |-------|-------|
|
| | pog_dense | `pog_dense.ckpt` |
|
| | spotify30 | `spotify30.ckpt` |
|
| | spotify60 | `spotify60.ckpt` |
|
| | spotify90 | `spotify90.ckpt` |
|
|
|
| These checkpoints can be used for evaluation or further fine-tuning with the provided codebase.
|
|
|
| ## Citation
|
|
|
| If you use the code or checkpoints in your research, please cite:
|
|
|
| ```bibtex
|
| @inproceedings{tu2026discrete,
|
| title={Discrete Diffusion for Bundle Construction},
|
| author={Tu, Teng and Li, Ai and Ma, Yunshan and Xu, Shuo and Liu, Xiaohao and Ma, Haokai and Pang, Liang and Chua, Tat-Seng},
|
| booktitle={The Fourteenth International Conference on Learning Representations},
|
| year={2026},
|
| url={https://openreview.net/forum?id=dKyhgfe50H}
|
| } |
