Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis
cs.LG, stat.ML
Submitted: 2026-08-27
Updated: 2026-08-27
Comments: 32 pages and 12 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- 3D Point Cloud Processing and Learning for Autonomous Driving
- Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass
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