Statistical Learning
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
However, in the real world, the graph topology and features are inevitably evolving over time, e.g., the user connections and interests in social networks.
OxonFair: A Flexible Toolkit for Algorithmic Fairness
This makes it easily extensible and much more expressive than existing toolkits. It supports all 9 and all 10 of the decision-based group metrics of two popular review articles.
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
We study the generalization of two-layer ReLU neural networks in a univariate nonparametric regression problem with noisy labels. This is a problem where kernels ( e.g.
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Message Passing Graph Neural Networks (MPGNNs) have emerged as the preferred method for modeling complex interactions across diverse graph entities.
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
The method begins with an iterative Gaussian cloud soft clustering module, offering structured temporal point cloud representations.
Identifying Spatio-Temporal Drivers of Extreme Events
In this work, we propose a first approach and benchmarks to tackle this challenge.
