When I skimmed through the paper, I had the following queries:
1. Is integration really a tree to tree translation? Because, neural
network is predicting the resulting expression tree for the input equation.
However, integration is not a predictive operation. Moreover, how can we
define that
On 28/09/2019 14:27, Oscar Benjamin wrote:
Neural nets are trained for a particular statistical distribution of
inputs and in the paper they describe their method for generating a
particular ensemble of possibilities. There might be something
inherent about the examples they give that means they
Neural nets are trained for a particular statistical distribution of
inputs and in the paper they describe their method for generating a
particular ensemble of possibilities. There might be something
inherent about the examples they give that means they are all solved
using a particular approach.
Their paper appears to be an attempt at using the transformer model for
language translation to symbolic math.
There is a Jupyter notebook with an example on how to create a translator
from Portuguese to English using the transformer model:
On Fri, Sep 27, 2019 at 11:56 PM Ondřej Čertík wrote:
>
> On Fri, Sep 27, 2019, at 12:48 PM, Aaron Meurer wrote:
> > There's a review paper for ICLR 2020 on training a neural network to
> > do symbolic integration. They claim that it outperforms Mathematica by
> > a large margin. Machine learning
