Optimizable Model Averaging for Ensembling Heterogeneous Model Outputs

arXiv:2505.21857 · cs.LG, stat.ML · Submitted 2025-05-28 · Read on arXiv

cs.LG, stat.ML

Submitted: 2025-05-28

Updated: 2026-10-08

Terminology

• Foundation Model — 5× in this paper · explained in 3 episodes
• Foundation Models — 5× in this paper · explained in 7 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks