38 lines
1.0 KiB
Markdown
38 lines
1.0 KiB
Markdown
# First Pass
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**Category:**
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This is a review paper.
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**Context:**
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This paper tries to keep up with where formal methods are for machine
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learning based systems. It is not necessarily a controls paper, but a broader
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machine learning paper in general.
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**Correctness:**
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Really well written on the first pass. Easy to understand and things seem
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well cited.
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**Contributions:**
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Great citations showing links to different papers and also provides nice spots
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for forward research. Talks about how verification needs to be done along the
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whole pipeline: from data prep to training to implementation. There needs to
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be more work on proving things about model behavior, but in general this
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review has a positive outlook on the field.
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**Clarity:**
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Very well written, easy to understand. Except, what is abstractification of a
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network?
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# Second Pass
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**What is the main thrust?**
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**What is the supporting evidence?**
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**What are the key findings?**
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# Third Pass
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**Recreation Notes:**
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**Hidden Findings:**
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**Weak Points? Strong Points?**
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