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 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 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 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 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 Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders, by Charles O’neill et al.
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencodersby Charles O'Neill, Alim Gumran, David…