Tag: artificial neural networks
Browse our exclusive articles!
Complexity-Aware Deep Symbolic Regression with Robust Policy Gradients
Discover a novel deep symbolic regression method using robust risk-seeking policy gradients to improve model robustness and interpretability.
Error Bounds for PINNs Solving Semilinear Wave Equations
Discover rigorous error bounds for physics-informed neural networks approximating semilinear wave equations to improve accuracy and training efficiency.
Generative Modeling in Protein Design: Methods & Standards
Explore generative modeling in protein design, covering neural methods, conditional generation, evaluation standards, and future research challenges.
TARA-Merging: Optimized LoRA Merging for AI Models
Discover TARA-Merging, a method to improve LoRA merging by preserving subspace coverage and reducing directional anisotropy for better AI task performance.
Physics-Informed Neural Networks for Thermo-Stamping Process
Explore how Physics-Informed Neural Networks and Sequence Encoders optimize heating and cooling in thermo-stamping for advanced manufacturing.