Summary of Adaptive Transformer Modelling Of Density Function For Nonparametric Survival Analysis, by Xin Zhang et al.
Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysisby Xin Zhang, Deval Mehta, Yanan…
Summary of K-fold Causal Bart For Cate Estimation, by Hugo Gobato Souto and Francisco Louzada Neto
K-Fold Causal BART for CATE Estimationby Hugo Gobato Souto, Francisco Louzada NetoFirst submitted to arxiv…
Summary of Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks, by Farah Alsafadi et al.
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and…
Summary of Approximation Bounds For Recurrent Neural Networks with Application to Regression, by Yuling Jiao et al.
Approximation Bounds for Recurrent Neural Networks with Application to Regressionby Yuling Jiao, Yang Wang, Bokai…
Summary of A Multi-modal Deep Learning Based Approach For House Price Prediction, by Md Hasebul Hasan et al.
A Multi-Modal Deep Learning Based Approach for House Price Predictionby Md Hasebul Hasan, Md Abid…
Summary of Robust Non-adaptive Group Testing Under Errors in Group Membership Specifications, by Shuvayan Banerjee et al.
Robust Non-adaptive Group Testing under Errors in Group Membership Specificationsby Shuvayan Banerjee, Radhendushka Srivastava, James…
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 Lepskii Principle For Distributed Kernel Ridge Regression, by Shao-bo Lin
Lepskii Principle for Distributed Kernel Ridge Regressionby Shao-Bo LinFirst submitted to arxiv on: 8 Sep…
Summary of Imputation Of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning, By Duc Thien Nguyen et al.
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learningby Duc…
Summary of Cross-dataset Gaze Estimation by Evidential Inter-intra Fusion, By Shijing Wang and Yaping Huang and Jun Xie and Yi Tian and Feng Chen and Zhepeng Wang
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusionby Shijing Wang, Yaping Huang, Jun Xie, Yi Tian,…