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Found 5 papers, 4 papers with code
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
To gain the most information from this multimodal, multiscale approach, it is desirable to identify precisely where a histologic tissue section was taken from within the organ in order to correlate with the tissue features in exactly the same organ region.
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Results illustrate the advantages of Decoder-DeepONet and Multi-Decoder-DeepONet in handling unaligned observation data and showcase their potentials in improving prediction accuracy.
Using AntiPatterns to avoid MLOps Mistakes
We describe lessons learned from developing and deploying machine learning models at scale across the enterprise in a range of financial analytics applications.
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere
Sparse deep neural networks have shown their advantages over dense models with fewer parameters and higher computational efficiency.
Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation
The experiment of trajectory estimation demonstrates the convergence of AdaTE, and the better robust to the biased prior statistics and the observation drift compared with EKF, UKF and sparse MAP.
Information Theory Robotics Systems and Control Systems and Control Information Theory G.3.13; J.2.7
