Explore the following loss landscapes where .

(1) Linear Autoencoder (scalar case):

(2) Linear Autoencoder (vector case):

where are defined as

(3) Low-rank Prediction:

(4) Weight Alignment:

Weighted by their respective , these terms are combined to construct various loss landscapes.