【nature】Accurate predictions on small data with a tabular foundation model医学数据2025-2-24 Tabular Data 表型数据 Generative Model 生成式模型 Transformer Cross Domain 跨域
【ICLR 2024】A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality医学数据2025-2-17 Diffusion Model 扩散模型 Controllable Generation Tabular Data 表型数据 Generative Model 生成式模型 模态修复
FLD+: DATA-EFFICIENT EVALUATION METRIC FOR GENERATIVE MODELS医学数据2025-1-14 机器学习 Generative Model 生成式模型 Normalizing Flow 正则化流 Evaluation Metrcis Cross Domain 跨域
【ICLR 2021】Score-based Generative Modeling Through Stochasitic Differential Equatations数据生成2024-10-3 Diffusion Model 扩散模型 机器学习 Generative Model 生成式模型
【NIPS 2023】Incomplete Multimodality-Diffused Emotion Recognition多模态学习2024-8-1 模态修复 Diffusion Model 扩散模型 Generative Model 生成式模型 机器学习 Controllable Generation
notion://custom_emoji/89331d86-5c28-434e-bfcb-12d68c0fc8aa/1335d734-b731-801c-ae01-007a5425c017?t=11e5d734-b731-8023-b873-caad21d26777【CVPR2024】Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning多模态学习2024-8-7 模态修复 Generative Model 生成式模型 Normalizing Flow 正则化流 机器学习
notion://custom_emoji/89331d86-5c28-434e-bfcb-12d68c0fc8aa/1335d734-b731-801c-ae01-007a5425c017?t=11d5d734-b731-8015-9556-eed7cf43017d[CVPR2024]Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models数据生成2024-8-14 Diffusion Model 扩散模型 Generative Model 生成式模型 机器学习 Controllable Generation
![[CVPR2024]Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models](https://images.unsplash.com/photo-1672152567948-0d3d10da0039?ixlib=rb-4.0.3&q=50&fm=webp&crop=entropy&cs=srgb&t=11d5d734-b731-8015-9556-eed7cf43017d&width=800&fmt=webp)
