  We propose an autoencoder-based geometric shaping that learns a constellation
robust to SNR and laser linewidth estimation errors. This constellation
maintains shaping gain in mutual information (up to 0.3 bits/symbol) with
respect to QAM over various SNR and laser linewidth values.
