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Found 6 papers, 1 papers with code
S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
S3LLM demonstrates the potential of using locally deployed open-source LLMs for the rapid understanding of large-scale scientific computing software, eliminating the need for extensive coding expertise, and thereby making the process more efficient and effective.
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks
To the best of our knowledge, BANIS is the first application to synthesize microscopic images that associate distinct spatial geometric features from multi-source domains.
Augmenting C. elegans Microscopic Dataset for Accelerated Pattern Recognition
The detection of cell shape changes in 3D time-lapse images of complex tissues is an important task.
Investigating Channel Pruning through Structural Redundancy Reduction -- A Statistical Study
Most existing channel pruning methods formulate the pruning task from a perspective of inefficiency reduction which iteratively rank and remove the least important filters, or find the set of filters that minimizes some reconstruction errors after pruning.
Speeding up convolutional networks pruning with coarse ranking
In specific, with the proposed method, 75% and 54% of the total computation time for the whole pruning procedure can be reduced for AlexNet on CIFAR-10, and for VGG-16 on ImageNet, respectively.
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis
However, the application of these systems to model cell movement is still challenging and requires a comprehensive understanding of regulation networks at the right scales.
