Summary of Learning to Model Graph Structural Information on Mlps Via Graph Structure Self-contrasting, by Lirong Wu et al.
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrastingby Lirong Wu, Haitao…
Summary of Forward Kl Regularized Preference Optimization For Aligning Diffusion Policies, by Zhao Shan et al.
Forward KL Regularized Preference Optimization for Aligning Diffusion Policiesby Zhao Shan, Chenyou Fan, Shuang Qiu,…
Summary of Optimal Projections For Classification with Naive Bayes, by David P. Hofmeyr et al.
Optimal Projections for Classification with Naive Bayesby David P. Hofmeyr, Francois Kamper, Michail M. MelonasFirst…
Summary of Learning Submodular Sequencing From Samples, by Jing Yuan et al.
Learning Submodular Sequencing from Samplesby Jing Yuan, Shaojie TangFirst submitted to arxiv on: 9 Sep…
Summary of Resource-efficient Generative Ai Model Deployment in Mobile Edge Networks, by Yuxin Liang et al.
Resource-Efficient Generative AI Model Deployment in Mobile Edge Networksby Yuxin Liang, Peng Yang, Yuanyuan He,…
Summary of Sample-efficient Bayesian Optimization with Transfer Learning For Heterogeneous Search Spaces, by Aryan Deshwal et al.
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spacesby Aryan Deshwal, Sait Cakmak, Yuhou…
Summary of On the Convergence Analysis Of Over-parameterized Variational Autoencoders: a Neural Tangent Kernel Perspective, by Li Wang and Wei Huang
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspectiveby Li Wang,…
Summary of Recursive Nested Filtering For Efficient Amortized Bayesian Experimental Design, by Sahel Iqbal et al.
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Designby Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites,…
Summary of A Novel Representation Of Periodic Pattern and Its Application to Untrained Anomaly Detection, by Peng Ye et al.
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detectionby Peng Ye,…
Summary of Learning Joint Models Of Prediction and Optimization, by James Kotary et al.
Learning Joint Models of Prediction and Optimizationby James Kotary, Vincenzo Di Vito, Jacob Cristopher, Pascal…