Tag: deep learning
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LTE-ODE: Advanced Neural ODEs for Large-Scale Traffic Forecasting
Discover LTE-ODE, a novel neural ODE method enhancing large-scale traffic forecasting with dynamic attention and shock compensation for accurate prediction...
Ortho-Hydra: Advanced Experts for DiT LoRA Fine-Tuning
Discover Ortho-Hydra, a novel approach improving DiT LoRA fine-tuning by reducing style bleed and enhancing expert specialization in multi-style datasets.
Proteo-R1: Advanced AI Model for De Novo Protein Design
Discover Proteo-R1, a novel AI framework enhancing stability, interpretability, and control in de novo protein design using dual-expert reasoning.
Key Invariants of Softmax Attention in Neural Networks
Explore the fundamental invariants of softmax attention and their impact on neural network performance and optimization.
Graph Rewiring in GNNs to Fix Over-Squashing & Smoothing
Explore graph rewiring techniques to overcome over-squashing and over-smoothing in GNNs, enhancing performance and information flow in deep networks.