Reviews: Learning Sensor Multiplexing Design through Back-propagation

Paper is nicely written, methodology is easy to follow, and validation shows the benefit of the proposed approach. Comments below: One main question that could arise in learning automatically a color filter pattern, is the dependence on the dataset. Would the use of a different heterogeneous dataset produce a completely different sensor pattern? If the pattern changes significantly between training sets, would it be relevant to question the robustness of a chosen pattern? On the same note, how could this impact camera designs, ie., could a universal pattern exist, or would there be multiple patterns, each designed for particular situations (could patterns designed for outdoor, indoor, urban or nature settings, produce a much better image quality than using a universal pattern?)