Meetings
Lottery ticket hypothesis and its current state
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
A Loss Curvature Perspective on Training Instability in Deep Learning
When Are Solutions Connected in Deep Networks?
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Towards Understanding Sharpness-Aware Minimization
When Do Neural Networks Outperform Kernel Methods?
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Does the Data Induce Capacity Control in Deep Learning?
Deep Ensembles: A Loss Landscape Perspective
Taxonomizing local versus global structure in neural network loss landscapes
The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks
The Geometry of Neural Network Landscapes: Symmetry-Induced Saddles & Global Minima Manifold
Exploring Generalization in Deep Learning
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