Summary of Simple Full-spectrum Correlated K-distribution Model Based on Multilayer Perceptron, by Xin Wang et al.
Simple Full-Spectrum Correlated k-Distribution Model based on Multilayer Perceptronby Xin Wang, Yucheng Kuang, Chaojun Wang,…
Summary of Neural Parameter Regression For Explicit Representations Of Pde Solution Operators, by Konrad Mundinger et al.
Neural Parameter Regression for Explicit Representations of PDE Solution Operatorsby Konrad Mundinger, Max Zimmer, Sebastian…
Summary of Equivariant Ensembles and Regularization For Reinforcement Learning in Map-based Path Planning, by Mirco Theile and Hongpeng Cao and Marco Caccamo and Alberto L. Sangiovanni-vincentelli
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planningby Mirco Theile, Hongpeng Cao,…
Summary of A Trainable Feature Extractor Module For Deep Neural Networks and Scanpath Classification, by Wolfgang Fuhl
A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classificationby Wolfgang FuhlFirst submitted…
Summary of Friendly Sharpness-aware Minimization, by Tao Li et al.
Friendly Sharpness-Aware Minimizationby Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin HuangFirst submitted to…
Summary of Sim2real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-informed Data Simulation, by Jiyi Chen et al.
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulationby Jiyi Chen, Pengyu Li,…
Summary of U-net Kalman Filter (unetkf): An Example Of Machine Learning-assisted Ensemble Data Assimilation, by Feiyu Lu
U-Net Kalman Filter (UNetKF): An Example of Machine Learning-assisted Ensemble Data Assimilationby Feiyu LuFirst submitted…
Summary of Finding the Missing Data: a Bert-inspired Approach Against Package Loss in Wireless Sensing, by Zijian Zhao et al.
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensingby Zijian Zhao,…
Summary of Compositional Learning Of Functions in Humans and Machines, by Yanli Zhou et al.
Compositional learning of functions in humans and machinesby Yanli Zhou, Brenden M. Lake, Adina WilliamsFirst…
Summary of Approximated Likelihood Ratio: a Forward-only and Parallel Framework For Boosting Neural Network Training, by Zeliang Zhang et al.
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Trainingby Zeliang Zhang,…