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CHANGELOG.md

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### Added
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- New `light_curve.embed` module with ONNX-backed light curve embedding
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models ([#692](https://github.com/light-curve/light-curve-python/pull/692)):
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- `Astromer1` and `Astromer2` — transformer encoders pretrained on MACHO light curves (Donoso-Oliva et al.
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2023/2026). Load directly from HuggingFace with `Astromer1.from_hf()` / `Astromer2.from_hf()`.
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- `ATCAT` — multiband transformer pretrained on LSST-like light curves (Tung 2025, arXiv:2511.00614).
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Load with `ATCAT.from_hf()`.
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- `NonOverlappingWindows`, `Beginning`, `End`, `RandomSubsample`, `MultipleReductions` — strategies for
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mapping variable-length light curves to fixed-length model inputs.
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- `InputTensors` / `AstromerInputs` / `ATCATInputs` — typed dataclass containers for preprocessed tensors.
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## [0.12.3] 2026-05-14
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### Added
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- New experimental `light_curve.embed` module with ONNX-backed light-curve embedding
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models ([#692](https://github.com/light-curve/light-curve-python/pull/692)):
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- `Astromer1` and `Astromer2` — transformer encoders pretrained on MACHO light curves (Donoso-Oliva et al.
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2023/2026). Load directly from HuggingFace with `Astromer1.from_hf()` / `Astromer2.from_hf()`.
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- `ATCAT` — multiband transformer pretrained on LSST-like light curves (Tung 2025, arXiv:2511.00614).
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Load with `ATCAT.from_hf()`.
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- `NonOverlappingWindows`, `Beginning`, `End`, `RandomSubsample`, `MultipleReductions` — strategies for
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mapping variable-length light curves to fixed-length model inputs.
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- `InputTensors` / `AstromerInputs` / `ATCATInputs` — typed dataclass containers for preprocessed tensors.
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## [0.12.2] 2026-05-09
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light-curve/Cargo.lock

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light-curve/Cargo.toml

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[package]
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name = "light-curve-python"
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version = "0.12.2"
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version = "0.12.3"
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authors = [
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"Konstantin Malanchev <hombit@gmail.com>",
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"Anastasia Lavrukhina <lavrukhina.ad@gmail.com>",

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