I am interested in inversing a transposed convolution operation (or "deconvolution", and not straightforward convolution).
A transposed convolution usually maps data points from a smaller feature space (latent space) onto a much larger feature space (image space), so the inverse should not be ambiguous, or should it?
Is there an established mathematical framework for performing the inversion? If not, how do you suggest approach the problem?
