v1v2v3 (latest)

Error bounds for approximations with deep ReLU networks

3 October 2016

Papers citing "Error bounds for approximations with deep ReLU networks"

50 / 633 papers shown

Title
Upper Approximation Bounds for Neural Oscillators Zifeng Huang Konstantin M. Zuev Yong Xia Michael Beer 68 0 0 30 Nov 2025
A Quantifier-Reversal Approximation Paradigm for Recurrent Neural Networks Clemens Hutter Valentin Abadie Helmut Bölcskei 111 0 0 19 Nov 2025
Convomem Benchmark: Why Your First 150 Conversations Don't Need RAGJournal of the mechanics and physics of solids (JMPS), 2025 Egor Pakhomov Erik Nijkamp Caiming Xiong 279 0 0 13 Nov 2025
Deep Neural Operator Learning for Probabilistic Models Erhan Bayraktar Qi Feng Zecheng Zhang Zhaoyu Zhang 122 1 0 10 Nov 2025
One model to solve them all: 2BSDE families via neural operators Takashi Furuya Anastasis Kratsios Dylan Possamaï Bogdan Raonić 141 0 0 03 Nov 2025
Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling R. Ghosh Ian Barnett BDL UD 374 0 0 28 Oct 2025
Neural Mutual Information Estimation with Vector Copulas Yanzhi Chen Zijing Ou Adrian Weller Michael U. Gutmann 119 2 0 23 Oct 2025
Neural Networks for Censored Expectile Regression Based on Data Augmentation Wei Cao Shanshan Wang CML 91 0 0 23 Oct 2025
On Universality of Deep Equivariant Networks Marco Pacini Mircea Petrache Bruno Lepri Shubhendu Trivedi Robin Walters 84 1 0 17 Oct 2025
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning Tomoya Wakayama Taiji Suzuki UQCV BDL 323 2 0 13 Oct 2025
A Mathematical Explanation of Transformers for Large Language Models and GPTs X. Tai Hao Liu Lingfeng Li Raymond H. F. Chan AI4CE 142 1 0 05 Oct 2025
Sharp Lower Bounds for Linearized ReLU^k Approximation on the Sphere Tong Mao Jinchao Xu 145 0 0 05 Oct 2025
Sparse Deep Additive Model with Interactions: Enhancing Interpretability and Predictability Yi-Ting Hung Li-Hsiang Lin Vince D. Calhoun 112 0 0 27 Sep 2025
Statistical Learning Guarantees for Group-Invariant Barron Functions Yahong Yang Wei Zhu 96 1 0 27 Sep 2025
Generalization Analysis for Classification on Korobov Space Yuqing Liu 72 0 0 26 Sep 2025
KANO: Kolmogorov-Arnold Neural Operator Jin Lee Ziming Liu Xinling Yu Yixuan Wang Haewon Jeong Murphy Yuezhen Niu Zheng Zhang 158 0 0 20 Sep 2025
Circuit realization and hardware linearization of monotone operator equilibrium networks Thomas Chaffey 100 0 0 17 Sep 2025
Expressive Power of Deep Networks on Manifolds: Simultaneous Approximation Hanfei Zhou Lei Shi 170 0 0 11 Sep 2025
Information-Theoretic Bounds and Task-Centric Learning Complexity for Real-World Dynamic Nonlinear Systems Sri Satish Krishna Chaitanya Bulusu Mikko Sillanpää 104 1 0 08 Sep 2025
Distribution estimation via Flow Matching with Lipschitz guarantees Lea Kunkel DiffM 117 2 0 02 Sep 2025
Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data Anastasis Kratsios Tin Sum Cheng Daniel Roy AAML 156 0 0 31 Aug 2025
Theory Foundation of Physics-Enhanced Residual Learning Shixiao Liang Wang Chen Keke Long Peng Zhang Xiaopeng Li Jintao Ke AI4CE 120 0 0 30 Aug 2025
Objective Value Change and Shape-Based Accelerated Optimization for the Neural Network Approximation Pengcheng Xie Zihao Zhou Zijian Zhou 104 0 0 27 Aug 2025
Factor Informed Double Deep Learning For Average Treatment Effect Estimation Jianqing Fan Soham Jana Sanjeev R. Kulkarni Qishuo Yin FedML CML 119 0 0 23 Aug 2025
Error analysis for the deep Kolmogorov method Iulian Cîmpean Thang Do Lukas Gonon Arnulf Jentzen Ionel Popescu 105 0 0 23 Aug 2025
Deep Learning for Markov Chains: Lyapunov Functions, Poisson's Equation, and Stationary Distributions Yanlin Qu Jose Blanchet Peter Glynn BDL 72 0 0 22 Aug 2025
On Task Vectors and Gradients Luca Zhou Daniele Solombrino Donato Crisostomi Maria Sofia Bucarelli Giuseppe Alessio D’Inverno Fabrizio Silvestri Emanuele Rodolà MoMe 389 1 0 22 Aug 2025
Neural Networks with Orthogonal Jacobian Alex Massucco Davide Murari Carola-Bibiane Schönlieb 186 1 0 04 Aug 2025
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification Yaoyu Zhang Chi-Guhn Lee DiffM 124 1 0 28 Jul 2025
Universal Fourier Neural Operators for periodic homogenization problems in linear elasticityJournal of the mechanics and physics of solids (JMPS), 2025 Binh Huy Nguyen Matti Schneider AI4CE 238 0 0 16 Jul 2025
When do World Models Successfully Learn Dynamical Systems? Edmund Ross Claudia Drygala Leonhard Schwarz Samir Kaiser F. Mare Tobias Breiten Hanno Gottschalk AI4CE 87 0 0 07 Jul 2025
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies Matthew Lau Tian-Yi Zhou Xiangchi Yuan Jizhou Chen Wenke Lee Xiaoming Huo 192 0 0 16 Jun 2025
On Universality Classes of Equivariant Networks Marco Pacini G. Santin Bruno Lepri Shubhendu Trivedi 174 1 0 02 Jun 2025
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Duc Anh Nguyen Ernesto Araya Adalbert Fono Gitta Kutyniok 511 0 0 23 May 2025
Efficient Adaptive Experimentation with Noncompliance Miruna Oprescu Brian M Cho Nathan Kallus 339 0 0 23 May 2025
Approximation theory for 1-Lipschitz ResNets Davide Murari Takashi Furuya Carola-Bibiane Schönlieb 410 4 0 17 May 2025
SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures Julian Kranz Davide Gallon Steffen Dereich Arnulf Jentzen 220 3 0 14 May 2025
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 437 0 0 13 May 2025
Universal Approximation Theorem for Deep Q-Learning via FBSDE System Qian Qi 196 2 0 09 May 2025
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights Zhaiming Shen Alex Havrilla Rongjie Lai A. Cloninger Wenjing Liao 282 2 0 06 May 2025
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan Oseledets 242 0 0 06 May 2025
A New Perspective To Understanding Multi-resolution Hash Encoding For Neural Fields Steven Tin Sui Luo 233 0 0 05 May 2025
Universal Approximation Theorem of Deep Q-Networks Qian Qi 184 5 0 04 May 2025
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective Yuling Jiao Yanming Lai Yang Wang Bokai Yan 231 1 0 18 Apr 2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation Lea Kunkel Mathias Trabs 248 5 0 17 Apr 2025
Approximation Bounds for Transformer Networks with Application to Regression Yuling Jiao Yanming Lai Defeng Sun Yang Wang Bokai Yan 419 1 0 16 Apr 2025
Expressivity of Quadratic Neural ODEs Joshua Hanson Maxim Raginsky 207 0 0 13 Apr 2025
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models Xuran Meng Yi Li BDL 231 0 0 12 Apr 2025
Neural network-enhanced integrators for simulating ordinary differential equations Amine Othmane Kathrin Flaßkamp 134 0 0 07 Apr 2025
Nonlocal techniques for the analysis of deep ReLU neural network approximations Cornelia Schneider Mario Ullrich Jan Vybiral 197 3 0 07 Apr 2025