Summary of Scalable Mechanistic Neural Networks For Differential Equations and Machine Learning, by Jiale Chen et al.
Scalable Mechanistic Neural Networks for Differential Equations and Machine Learningby Jiale Chen, Dingling Yao, Adeel…
Scalable Mechanistic Neural Networks for Differential Equations and Machine Learningby Jiale Chen, Dingling Yao, Adeel…
Benign Overfitting for Regression with Trained Two-Layer ReLU Networksby Junhyung Park, Patrick Bloebaum, Shiva Prasad…
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forcesby Vahid Hashemi, Jan Křetínský, Sabine Rieder, Torsten Schön,…
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortexby Alex Mulrooney, Austin J.…
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learningby Sofya…
Deep learning-based fault identification in condition monitoringby Hariom Dhungana, Suresh Kumar Mukhiya, Pragya Dhungana, Benjamin…
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theoryby Guhan Chen,…
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and…
Residual Kolmogorov-Arnold Network for Enhanced Deep Learningby Ray Congrui Yu, Sherry Wu, Jiang GuiFirst submitted…
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networksby Kevin Ferguson, Andrew Gillman,…