Summary of Convergence Analysis Of Flow Matching in Latent Space with Transformers, by Yuling Jiao et al.
Convergence Analysis of Flow Matching in Latent Space with Transformersby Yuling Jiao, Yanming Lai, Yang…
Convergence Analysis of Flow Matching in Latent Space with Transformersby Yuling Jiao, Yanming Lai, Yang…
Masked Completion via Structured Diffusion with White-Box Transformersby Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong…
Diffusion-Driven Domain Adaptation for Generating 3D Moleculesby Haokai Hong, Wanyu Lin, Kay Chen TanFirst submitted…
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical…
Detecting Generative Parroting through Overfitting Masked Autoencodersby Saeid Asgari Taghanaki, Joseph LambourneFirst submitted to arxiv…
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generationby Ruikai Cui, Weizhe…
Stochastic parameter reduced-order model based on hybrid machine learning approachesby Cheng Fang, Jinqiao DuanFirst submitted…
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusionby Jia Wei, Xingjun Zhang,…
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decompositionby Sihyun Yu, Weili Nie, De-An Huang, Boyi…
Exploring Task Unification in Graph Representation Learning via Generative Approachby Yulan Hu, Sheng Ouyang, Zhirui…