Summary of Point Neuron Learning: a New Physics-informed Neural Network Architecture, by Hanwen Bi et al.
Point Neuron Learning: A New Physics-Informed Neural Network Architectureby Hanwen Bi, Thushara D. AbhayapalaFirst submitted…
Summary of Improving Time Series Classification with Representation Soft Label Smoothing, by Hengyi Ma et al.
Improving Time Series Classification with Representation Soft Label Smoothingby Hengyi Ma, Weitong ChenFirst submitted to…
Summary of Estimating Conditional Average Treatment Effects Via Sufficient Representation Learning, by Pengfei Shi et al.
Estimating Conditional Average Treatment Effects via Sufficient Representation Learningby Pengfei Shi, Wei Zhong, Xinyu Zhang,…
Summary of Cw-cnn & Cw-an: Convolutional Networks and Attention Networks For Cw-complexes, by Rahul Khorana
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexesby Rahul KhoranaFirst submitted to arxiv…
Summary of Sympgnns: Symplectic Graph Neural Networks For Identifiying High-dimensional Hamiltonian Systems and Node Classification, by Alan John Varghese et al.
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classificationby Alan John…
Summary of A Great Architecture For Edge-based Graph Problems Like Tsp, by Attila Lischka et al.
A GREAT Architecture for Edge-Based Graph Problems Like TSPby Attila Lischka, Jiaming Wu, Morteza Haghir…
Summary of The Star Geometry Of Critic-based Regularizer Learning, by Oscar Leong and Eliza O’reilly and Yong Sheng Soh
The Star Geometry of Critic-Based Regularizer Learningby Oscar Leong, Eliza O'Reilly, Yong Sheng SohFirst submitted…
Summary of Tinytnas: Gpu-free, Time-bound, Hardware-aware Neural Architecture Search For Tinyml Time Series Classification, by Bidyut Saha et al.
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classificationby Bidyut Saha, Riya…
Summary of Tg-phynn: An Enhanced Physically-aware Graph Neural Network Framework For Forecasting Spatio-temporal Data, by Zakaria Elabid et al.
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Databy Zakaria Elabid, Lena…
Summary of Addressing Common Misinterpretations Of Kart and Uat in Neural Network Literature, by Vugar Ismailov
Addressing common misinterpretations of KART and UAT in neural network literatureby Vugar IsmailovFirst submitted to…