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 novel idea and insight


execution of SEVIR required several novel ideas and insights, including recognition of a gap in ML-ready weather

Neural Information Processing Systems

Thank you to each reviewer for your helpful feedback on our paper. Below we provide our reasoning for several selected points. Due to page limits, only a portion of the updated figure is shown below. TrajGRU) would be out of scope (and well over page count). The baselines we provide show that depending on your choice of loss function, certain axes of "goodness" are brought We will add more discussion along these lines which address "what is done and why".


execution of SEVIR required several novel ideas and insights, including recognition of a gap in ML-ready weather

Neural Information Processing Systems

Thank you to each reviewer for your helpful feedback on our paper. Below we provide our reasoning for several selected points. Due to page limits, only a portion of the updated figure is shown below. TrajGRU) would be out of scope (and well over page count). The baselines we provide show that depending on your choice of loss function, certain axes of "goodness" are brought We will add more discussion along these lines which address "what is done and why".