Summary of Deep Learning Alternatives Of the Kolmogorov Superposition Theorem, by Leonardo Ferreira Guilhoto et al.
Deep Learning Alternatives of the Kolmogorov Superposition Theoremby Leonardo Ferreira Guilhoto, Paris PerdikarisFirst submitted to…
Deep Learning Alternatives of the Kolmogorov Superposition Theoremby Leonardo Ferreira Guilhoto, Paris PerdikarisFirst submitted to…
Analysis of Convolutional Neural Network-based Image Classifications: A Multi-Featured Application for Rice Leaf Disease Prediction…
On the expressiveness and spectral bias of KANsby Yixuan Wang, Jonathan W. Siegel, Ziming Liu,…
An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiersby Hans Dermot…
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Modelsby Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada,…
Ensembles provably learn equivariance through data augmentationby Oskar Nordenfors, Axel FlinthFirst submitted to arxiv on:…
Text2PDE: Latent Diffusion Models for Accessible Physics Simulationby Anthony Zhou, Zijie Li, Michael Schneier, John…
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of…
Spherical Analysis of Learning Nonlinear Functionalsby Zhenyu Yang, Shuo Huang, Han Feng, Ding-Xuan ZhouFirst submitted…
nGPT: Normalized Transformer with Representation Learning on the Hypersphereby Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun,…