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Geometry of the Loss Landscape in Overparameterized Neural Networks Symmetries and Invariances

Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks

Eliminating the Invariance on the Loss Landscape of Linear Autoencoders

Exploring the Landscape of Spatial Robustness

Optimization Landscape and Expressivity of Deep CNNs