Search Results for author:
Found 7 papers, 3 papers with code
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
In this study, we propose a novel reinforcement learning (RL) framework to automatically localize fetal brain standard planes in 3D US.
Faking photon number on a transition-edge sensor
We study potential security vulnerabilities of a single-photon detector based on superconducting transition-edge sensor.
Quantum Physics
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
Furthermore, we propose a confidence-based approach to encode the optimization of image quality in the learning process.
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
Maillard sampling \cite{maillard13apprentissage}, an attractive alternative to Thompson sampling, has recently been shown to achieve competitive regret guarantees in the sub-Gaussian reward setting \cite{bian2022maillard} while maintaining closed-form action probabilities, which is useful for offline policy evaluation.
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning
Additionally, a thorough study of varying weather conditions on trajectory design is provided, and the impact of weight coefficients in the problem formulation is discussed.
Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation
The accuracy and robustness of 3D human pose estimation (HPE) are limited by 2D pose detection errors and 2D to 3D ill-posed challenges, which have drawn great attention to Multi-Hypothesis HPE research.
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems
Neural machine translation (NMT) systems have demonstrated promising results in recent years.
