the suggested references, and add a "broader impact " section 1 (We apologize for not realizing that we are required to

We thank all the reviewers for their time and for their thoughtful comments. Is grammar-compression useful for vectors and matrices encountered in ML? (a concern raised by reviewer #3) We prove that grammar compressions are harder to analyze (without decompression) than simpler ones like RLE. In the submission, we have only commented on this question in passing. Fortunately, such a test was already performed in the "Compressed Linear Algebra" paper [ To quote reviewer #4: " In this sense, proving a limitation of those models will greatly influence future research W e wish to sincerely thank the reviewers and the PC again for their time and help in improving the quality of this work. The ethical consequences depend on the specific application.