practical applicability
The feasibility and effectiveness of AI models and techniques in solving real-world problems, ensuring that research contributions can be successfully implemented in industry, healthcare, finance, and other sectors.
- Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
- Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks
- Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
- Parameter-free Algorithms for the Stochastically Extended Adversarial Model
- Post Hoc Regression Refinement via Pairwise Rankings
- Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation