Tag: deep learning
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Precise Transformer Verification Using ReLU Abstraction Refinement
Enhance transformer model safety with precise ReLU-catalyzed abstraction refinement for accurate and efficient formal verification.
Muon Optimizer: Orthogonalization Boosts Learning Rate & Convergence
Discover how Muon's spectral flattening and orthogonalization enhance learning rates and convergence, outperforming traditional optimizers like SGD.
Anatomy-Slot: Enhancing Retinal Diagnosis with Bilateral AI
Discover Anatomy-Slot, an unsupervised AI framework improving retinal diagnosis accuracy through bilateral anatomical factorization and cross-attention.
ChannelKAN: Hybrid CNN-KAN for Accurate CSI Prediction
Discover ChannelKAN, a hybrid CNN-KAN model improving multi-scale dual-domain channel prediction for reliable CSI in high-mobility wireless systems.
Multi-Scale Transformers Outperform Fourier for PDE Solving
Discover how Multi-Scale Attention Transformers outperform Fourier Neural Operators in solving PDEs on irregular domains with faster, accurate results.