Summary of Recurrent Stochastic Configuration Networks For Temporal Data Analytics, by Dianhui Wang and Gang Dang
Recurrent Stochastic Configuration Networks for Temporal Data Analyticsby Dianhui Wang, Gang DangFirst submitted to arxiv…
Summary of Inferring Stochastic Low-rank Recurrent Neural Networks From Neural Data, by Matthijs Pals et al.
Inferring stochastic low-rank recurrent neural networks from neural databy Matthijs Pals, A Erdem Sağtekin, Felix…
Summary of Improving Robustness to Corruptions with Multiplicative Weight Perturbations, by Trung Trinh et al.
Improving robustness to corruptions with multiplicative weight perturbationsby Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel…
Summary of Towards Unlocking the Mystery Of Adversarial Fragility Of Neural Networks, by Jingchao Gao et al.
Towards unlocking the mystery of adversarial fragility of neural networksby Jingchao Gao, Raghu Mudumbai, Xiaodong…
Summary of Intrinsic Dimension Correlation: Uncovering Nonlinear Connections in Multimodal Representations, by Lorenzo Basile et al.
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representationsby Lorenzo Basile, Santiago Acevedo, Luca Bortolussi,…
Summary of Injectivity Of Relu-layers: Tools From Frame Theory, by Daniel Haider and Martin Ehler and Peter Balazs
Injectivity of ReLU-layers: Tools from Frame Theoryby Daniel Haider, Martin Ehler, Peter BalazsFirst submitted to…
Summary of Physics Informed Machine Learning (piml) Methods For Estimating the Remaining Useful Lifetime (rul) Of Aircraft Engines, by Sriram Nagaraj and Truman Hickok
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft…
Summary of Deep Vision-based Framework For Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations, by Areg Karapetyan et al.
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptationsby Areg…
Summary of Younger: the First Dataset For Artificial Intelligence-generated Neural Network Architecture, by Zhengxin Yang et al.
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architectureby Zhengxin Yang, Wanling Gao, Luzhou…
Summary of Open Problem: Order Optimal Regret Bounds For Kernel-based Reinforcement Learning, by Sattar Vakili
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learningby Sattar VakiliFirst submitted to arxiv…