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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kai T. Zhang

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2 papers indexed here

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2015

Deep Residual Networks With Batch Normalization for Large-Scale Image Classification: Architecture Ablation, Training Dynamics, and Generalization to Medical Imaging Benchmarks

This study investigates deep residual network architecture with batch normalization for ImageNet classification, with ablation studies on skip connection design and generalization experiments on medical imaging benchmarks within the context of computer vision and machine learning, an area of growing scientific importan...

Kai T. Zhang · 0 citations
2025

Structural Causal Model Variational Autoencoders for Distribution-Shift-Robust Representation Learning: Identifiability Theory, Intervention Generalization, and CausalBench Evaluation

This study investigates structural causal model VAE (SCM-VAE) framework for learning identifiable causal representations that generalize under distribution shift, with theoretical identifiability guarantees and CausalBench out-of-distribution evaluation within the context of machine learning theory and causal inference...

I. M. Torres, Kai T. Zhang, Noa Ben David · 0 citations

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