Summary of Multiset Transformer: Advancing Representation Learning in Persistence Diagrams, by Minghua Wang et al.
Multiset Transformer: Advancing Representation Learning in Persistence Diagramsby Minghua Wang, Ziyun Huang, Jinhui XuFirst submitted…
Summary of Ev-pinn: a Physics-informed Neural Network For Predicting Electric Vehicle Dynamics, by Hansol Lim et al.
EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamicsby Hansol Lim, Jee Won Lee,…
Summary of Activation Functions For “a Feedforward Unitary Equivariant Neural Network”, by Pui-wai Ma
Activation Functions for “A Feedforward Unitary Equivariant Neural Network”by Pui-Wai MaFirst submitted to arxiv on:…
Summary of A Neural Network Training Method Based on Distributed Pid Control, by Jiang Kun
A Neural Network Training Method Based on Distributed PID Controlby Jiang KunFirst submitted to arxiv…
Summary of Revised Regularization For Efficient Continual Learning Through Correlation-based Parameter Update in Bayesian Neural Networks, by Sanchar Palit et al.
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networksby Sanchar…
Summary of Hf-diff: High-frequency Perceptual Loss and Distribution Matching For One-step Diffusion-based Image Super-resolution, by Shoaib Meraj Sami et al.
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-Resolutionby Shoaib Meraj Sami,…
Summary of Towards Accessible Learning: Deep Learning-based Potential Dysgraphia Detection and Ocr For Potentially Dysgraphic Handwriting, by Vydeki D et al.
Towards Accessible Learning: Deep Learning-Based Potential Dysgraphia Detection and OCR for Potentially Dysgraphic Handwritingby Vydeki…
Summary of Investigating Graph Neural Networks and Classical Feature-extraction Techniques in Activity-cliff and Molecular Property Prediction, by Markus Dablander
Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Predictionby Markus…
Summary of Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated Fem and Neural Network Approach, by Sasa Ilic et al.
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approachby…
Summary of Eliminating Ratio Bias For Gradient-based Simulated Parameter Estimation, by Zehao Li and Yijie Peng
Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimationby Zehao Li, Yijie PengFirst submitted to arxiv…