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cs.CV2026
Learning with Volterra Neural Networks: A System Theoretic Perspective
Haoyu Yun, Hamid Krim, Yufang Bao
Higher-order interaction components are important for signal, image, and video modeling, but explicit high-order operators often suffer from rapidly increasing parameter and comput…
cs.CV2026
KVNN: Learnable Multi-Kernel Volterra Neural Networks
Haoyu Yun, Hamid Krim, Yufang Bao
Higher-order learning is fundamentally rooted in exploiting compositional features. It clearly hinges on enriching the representation by more elaborate interactions of the data whi…
cs.CV2025
Proximal Vision Transformer: Enhancing Feature Representation through Two-Stage Manifold Geometry
Haoyu Yun, Hamid Krim
The Vision Transformer (ViT) architecture has become widely recognized in computer vision, leveraging its self-attention mechanism to achieve remarkable success across various task…