Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and…
Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applicationsby…
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for…
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networksby…
Component Fourier Neural Operator for Singularly Perturbed Differential Equationsby Ye Li, Ting Du, Yiwen Pang,…
Phrase-Level Adversarial Training for Mitigating Bias in Neural Network-based Automatic Essay Scoringby Haddad Philip, Tsegaye…
Activation Function Optimization Scheme for Image Classificationby Abdur Rahman, Lu He, Haifeng WangFirst submitted to…
Unsupervised Adaptive Normalizationby Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen FangFirst submitted to arxiv on:…
Approximating Metric Magnitude of Point Setsby Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik…
Accelerating Training with Neuron Interaction and Nowcasting Networksby Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene…