How to Make Neural Networks Talk: Register Automata as Their Unexpected Interpreters
How to Make Neural Networks Talk: Register Automata as Their Unexpected Interpreters Prices move. Sensors drift. Users click, pause, return, disappear, and sometimes behave exactly like a Markov chain with a caffeine problem. Modern sequence models are good at turning such streams into decisions. A recurrent network or transformer can look at a run of numbers and say: buy, flag, reject, approve, alert. What it usually cannot do is explain the rule it has learned in a form that a risk team, engineer, or auditor can actually inspect. ...