Poster "universal approximation" Papers
10 papers found
Conference
Attention Mechanism, Max-Affine Partition, and Universal Approximation
Hude Liu, Jerry Yao-Chieh Hu, Zhao Song et al.
NEURIPS 2025arXiv:2504.19901
6
citations
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations
David Dalton, Alan Lazarus, Hao Gao et al.
ICLR 2025
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang et al.
ICML 2025
5
citations
Higher-Order Graphon Neural Networks: Approximation and Cut Distance
Daniel Herbst, Stefanie Jegelka
ICLR 2025arXiv:2503.14338
4
citations
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade et al.
ICLR 2025arXiv:2407.01214
8
citations
Auto-Regressive Next-Token Predictors are Universal Learners
Eran Malach
ICML 2024arXiv:2309.06979
55
citations
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu, Zixin Wang, Xi'an Li et al.
ICML 2024arXiv:2408.02045
Prompting a Pretrained Transformer Can Be a Universal Approximator
Aleksandar Petrov, Phil Torr, Adel Bibi
ICML 2024arXiv:2402.14753
19
citations
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
Antonio Orvieto, Soham De, Caglar Gulcehre et al.
ICML 2024arXiv:2307.11888
35
citations
Weisfeiler Leman for Euclidean Equivariant Machine Learning
Snir Hordan, Tal Amir, Nadav Dym
ICML 2024arXiv:2402.02484
10
citations