CityMPC β TX_ViT pre-trained checkpoints (5 cities)
Stripped Lightning checkpoints for the CityMPC TX_ViT model from the NeurIPS 2026 paper. One checkpoint per city, selected by the seed-sweep stability filter (Kendall weighting Ο_presence < 1e-3 + good-verdict on test-set outlier rule), then ranked by lowest Path Loss MAE / best Presence F1.
Per-city metrics (test set)
| City | Path Loss MAE (dB) | ToF MAE (ns) | Avg Delay MAE (ns) | Presence F1 | Seed |
|---|---|---|---|---|---|
| tx_austin | 1.107 | 5.18 | 16.36 | 0.894 | 2024 |
| tx_dallas | 1.451 | 5.29 | 9.48 | 0.879 | 123 |
| tx_denver | 1.976 | 3.98 | 10.15 | 0.863 | 123 |
| tx_fortworth | 1.736 | 4.07 | 11.13 | 0.881 | 123 |
| tx_newyork | 2.481 | 8.59 | 19.96 | 0.874 | 42 |
How to use
These checkpoints are stripped β inference only, not training-resumable. After cloning the CityMPC repo:
# download a single city
hf download neurips2026citympc/citympc-txvit \
outputs/tx_austin/city_10_austin_3p5_s/final/ckpts/last.ckpt \
outputs/tx_austin/city_10_austin_3p5_s/final/config.yaml \
--local-dir .
# evaluate
python scripts/analyze.py \
--ckpt outputs/tx_austin/city_10_austin_3p5_s/final/ckpts/last.ckpt
Or open notebooks/02_analyze_trained_model.ipynb and paste the
downloaded run path into TXVIT_RUN_DIR.
File layout
outputs/
tx_austin/city_10_austin_3p5_s/final/{ckpts/last.ckpt, config.yaml}
tx_dallas/city_8_dallas_3p5_s/final/{ckpts/last.ckpt, config.yaml}
tx_denver/city_18_denver_3p5_s/final/{ckpts/last.ckpt, config.yaml}
tx_fortworth/city_12_fortworth_3p5_s/final/{ckpts/last.ckpt, config.yaml}
tx_newyork/city_0_newyork_3p5_s/final/{ckpts/last.ckpt, config.yaml}
Integrity (SHA-256)
| File | Size | SHA-256 |
|---|---|---|
outputs/tx_austin/city_10_austin_3p5_s/final/ckpts/last.ckpt |
60.6 MB | 2c4b31591eb347caab9acf11623dcc2d8a184515fbf8c4186b4958a2c5fe95a3 |
outputs/tx_austin/city_10_austin_3p5_s/final/config.yaml |
0.0 MB | f3e75a17d3d7726cfd01a75df635b26aac3ca54edd386af2b604eaaa7e3057c1 |
outputs/tx_dallas/city_8_dallas_3p5_s/final/ckpts/last.ckpt |
60.6 MB | 397327907665bb7abb70335a0cd581677a8b6b55e9d3a4fbe95092d7fd9d12ad |
outputs/tx_dallas/city_8_dallas_3p5_s/final/config.yaml |
0.0 MB | 9b60b5483f2580737052ba8ed6e4d89fe86dd52161095b50a14afcbe7256a88d |
outputs/tx_denver/city_18_denver_3p5_s/final/ckpts/last.ckpt |
60.6 MB | 13e496219b7210f9092996023f16ef0aed53b066ac46b322cf8b664085706dee |
outputs/tx_denver/city_18_denver_3p5_s/final/config.yaml |
0.0 MB | b03ea4570bbd423a719f91919293ed23617d48476476f7f398fb1ab0d3f51ea0 |
outputs/tx_fortworth/city_12_fortworth_3p5_s/final/ckpts/last.ckpt |
60.6 MB | 6f6ce2e43b025edf422de5b94edc8c476dbc4d604137d487f00cf494c88f9317 |
outputs/tx_fortworth/city_12_fortworth_3p5_s/final/config.yaml |
0.0 MB | d7d124c9ff9d28c4ac8c7da2c3273863a4466e567480fae382593b5c9bd32e34 |
outputs/tx_newyork/city_0_newyork_3p5_s/final/ckpts/last.ckpt |
60.6 MB | 98de5771b763445dd04d8c0bdf070777492710ffb0e65fa7807e599871b00e74 |
outputs/tx_newyork/city_0_newyork_3p5_s/final/config.yaml |
0.0 MB | c33baa28a3d6ae02626a46cd64f3161378cb53e4d93968528cc46091c861065d |
Notes
- Architecture: TX_ViT conditional VAE (CityMPC). See the paper for details.
- Trained on the CityMPC dataset.
- Lightning state stripped (optimizer / scheduler / callback) β checkpoints are not training-resumable.
- Ο-gate: every shipped run had
weighting/sigma/presence< 1e-3 at its last logged step.
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