From the 1 of 4 linked papers with an AI index.
4 papers
Endo-NeRF++: Uncertainty-Aware Neural Rendering with Multi-Resolution Hash Encoding for Dynamic Surgical Scene Reconstruction
Gousia Habib, Laura Ruotsalainen
The paper presents Endo-NeRF++, a neural rendering system that uses multi-resolution hash encoding and uncertainty‑aware adaptive sampling to improve the reconstruction of dynamic,…
PoseFM: Relative Camera Pose Estimation Through Flow Matching
Dominik Kuczkowski, Laura Ruotsalainen
Monocular visual odometry (VO) is a fundamental computer vision problem with applications in autonomous navigation, augmented reality and more. While deep learning-based methods ha…
Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
Shreya Das, Kundan Kumar, Muhammad Iqbal +4
Model-based reinforcement learning (MBRL) is sample-efficient but depends on the accuracy of the learned dynamics, which are often modeled using black-box methods that do not adher…
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou, Ville Kyrki, Pasi Fränti +1
Bayesian inference has many advantages in decision making of agents (e.g. robotics/simulative agent) over a regular data-driven black-box neural network: Data-efficiency, generaliz…