Summary of Generative Modeling by Minimizing the Wasserstein-2 Loss, By Yu-jui Huang et al.
Generative Modeling by Minimizing the Wasserstein-2 Lossby Yu-Jui Huang, Zachariah MalikFirst submitted to arxiv on:…
Generative Modeling by Minimizing the Wasserstein-2 Lossby Yu-Jui Huang, Zachariah MalikFirst submitted to arxiv on:…
Combining Optimal Transport and Embedding-Based Approaches for More Expressiveness in Unsupervised Graph Alignmentby Songyang Chen,…
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localizationby Zhang Wan, Shuo Wang, Xudong ZhangFirst…
Unveiling Multiple Descents in Unsupervised Autoencodersby Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir LindenbaumFirst submitted…
Latent Communication in Artificial Neural Networksby Luca MoschellaFirst submitted to arxiv on: 16 Jun 2024CategoriesMain:…
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classificationby Oluwaseun T.…
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modelingby Tianxiang Zhao, Dongsheng Luo, Xiang Zhang,…
Neural Concept Binderby Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian KerstingFirst submitted to arxiv on:…
Enhancing Domain Adaptation through Prompt Gradient Alignmentby Hoang Phan, Lam Tran, Quyen Tran, Trung LeFirst…
Assessing Model Generalization in Vicinityby Yuchi Liu, Yifan Sun, Jingdong Wang, Liang ZhengFirst submitted to…