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What do Deep Neural Networks Learn in Medical Images?

Deep learning is increasingly gaining rapid adoption in healthcare to he...

Interpretable Distribution Shift Detection using Optimal Transport

We propose a method to identify and characterize distribution shifts in ...

Towards Understanding Mixture of Experts in Deep Learning

The Mixture-of-Experts (MoE) layer, a sparsely-activated model controlle...

A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting

Earth Observatory is a growing research area that can capitalize on the ...

Learning Interaction Variables and Kernels from Observations of Agent-Based Systems

Dynamical systems across many disciplines are modeled as interacting par...

Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers

The discovery of patient-specific imaging markers that are predictive of...