AI Applications

DDL-CXR dynamically generates up-to-date chest X-ray image representations using latent diffusion models, effectively addressing asynchronous multimodal clinical data for improved prediction.

AdaFlow: a novel imitation learning framework boasts fast inference and diverse action generation via variance-adaptive flow-based policies, significantly outperforming existing methods.

Active Sequential Neural Posterior Estimation (ASNPE) boosts simulation-based inference efficiency by actively selecting informative simulation parameters, significantly outperforming existing methods…

ActiveNGF achieves superior robotic grasping by using a Neural Graspness Field to model scene grasp distribution online, enabling efficient camera movement and improved grasp pose detection.

Researchers enhanced transformer models for inertial pose estimation by introducing a Sequence Structure Module, leveraging inherent fixed-length sequence structures for improved accuracy and steadine…

New nonparametric framework explains ML performance gaps across domains by hierarchically decomposing discrepancies due to covariate and conditional outcome shifts, offering detailed variable-level at…

This paper introduces mSSRM-PGA, achieving globally optimal m-sparse Sharpe ratios, addressing the nonconvexity issue in portfolio optimization through a novel proximal gradient algorithm.

LLMs dynamically adjust restless multi-armed bandit (RMAB) resource allocation policies in public health via human-language commands.

FlowDPO: Revolutionizing 3D structure prediction with flexible probability paths & Direct Preference Optimization for enhanced accuracy and reduced hallucinations.

NeuroPath: A novel deep learning model reveals how brain structure supports brain function by uncovering multi-hop neural pathways, improving brain network analysis accuracy.