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08/23/2023
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas
We develop a methodology to create data-driven predictive digital twins ...
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04/27/2023
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Foundation models have achieved great advances in multi-task learning wi...
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04/24/2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Diffusion models have attained impressive visual quality for image synth...
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12/02/2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
Swarm learning (SL) is an emerging promising decentralized machine learn...
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03/26/2022
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning
Automatic Time Series Forecasting (TSF) model design which aims to help ...
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01/14/2022