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src/torchjd/aggregation/upgrad.py
@@ -12,6 +12,8 @@
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class UPGrad(_WeightedAggregator):
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"""
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+ TEST: check if this new sentence appears in the built documentation.
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+
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:class:`~torchjd.aggregation.bases.Aggregator` that projects each row of the input matrix onto
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the dual cone of all rows of this matrix, and that combines the result, as proposed in
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`Jacobian Descent For Multi-Objective Optimization <https://arxiv.org/pdf/2406.16232>`_.
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