1) In the slide at 28:50 you say that the liquid time-constant differential equation is solved in closed form (which I assume means it is an exact solution) and you provide the solution expression , but then you say in 31:00 that this same expression is an approximation of the closed-form solution. How can that be? 2) And then in 32:30, it is not at all mentioned how the new x(t) expression is attained and related to the closed-form solution at the bottom of the slide. Please explain.
Where is the multimodal liquid neural network that can do inference for vision, language and sound ?
1) In the slide at 28:50 you say that the liquid time-constant differential equation is solved in closed form (which I assume means it is an exact solution) and you provide the solution expression , but then you say in 31:00 that this same expression is an approximation of the closed-form solution. How can that be?
2) And then in 32:30, it is not at all mentioned how the new x(t) expression is attained and related to the closed-form solution at the bottom of the slide. Please explain.
You are really doing your work I guess
Perez Maria Hall Ruth Smith Robert
Thompson Shirley Hall Timothy Martinez Nancy
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