closed-form solution

From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025 Closed-form Solutions: A New Perspective on Solving Differential Equations ICML 2025 Enabling Optimal Decisions in Rehearsal Learning under CARE Condition ICML 2025 Flow Matching Ergodic Coverage RSS 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025 ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning ICML 2025 Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions L4DC 2025 Polarized Color Screen Matting CVPR 2025 Quantization without Tears CVPR 2025 Random Feature Representation Boosting ICML 2025 Rectified Diffusion Guidance for Conditional Generation CVPR 2025 An Analysis of Linear Time Series Forecasting Models ICML 2024 An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment ICLR 2024 DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning AAAI 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 Guidance with Spherical Gaussian Constraint for Conditional Diffusion ICML 2024 KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation CVPR 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ICLR 2024 Unified Concept Editing in Diffusion Models WACV 2024