Summary of Representation Learning with Cgan For Casual Inference, by Zhaotian Weng et al.
Representation learning with CGAN for casual inferenceby Zhaotian Weng, Jianbo Hong, Lan WangFirst submitted to…
Representation learning with CGAN for casual inferenceby Zhaotian Weng, Jianbo Hong, Lan WangFirst submitted to…
BADM: Batch ADMM for Deep Learningby Ouya Wang, Shenglong Zhou, Geoffrey Ye LiFirst submitted to…
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)by Jerry Yao-Chieh Hu,…
Wavelets Are All You Need for Autoregressive Image Generationby Wael Mattar, Idan Levy, Nir Sharon,…
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiTby Le Zhuo, Ruoyi Du, Han Xiao, Yangguang…
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generationby Katherine M. Collins, Najoung…
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generationby Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li,…
Training Diffusion Models with Federated Learningby Matthijs de Goede, Bart Cox, Jérémie DecouchantFirst submitted to…
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Modelsby Yi Fang, Dongzhe…
Decomposed evaluations of geographic disparities in text-to-image modelsby Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila…