Ercan Engin KURUOGLU

UniFast-HGR: Scalable and Efficient Maximal Correlation for Multimodal Models

BayesShift: Evolving Domain Generalization via Hamiltonian Monte Carlo

InfoCLIP++: A Multimodal Learning Framework with Multi-Granular Information-Theoretic Alignment and Adaptive Fusion

On the Generalization of Dynamic GNNs: A Heavy-Tailed Wavelet Perspective

Bayes Always Wins the Lottery in Monte Carlo

Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration

Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation

PRUNING CNNS WITH GRAPH RANDOM WALK & RANDOM MATRIX THEORY

Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding

Fast and Scalable Method for Efficient Multimodal Feature Extraction with Optimized Maximal Correlation

MinMax Bayesian Neural Networks and Uncorrelated Representation