conftrace_

approximation theory

77 papers

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Co-occurring keywords

neural network (6616) relu network (143) function approximation (319) activation function (133) neural network approximation (31) kernel methods (1097) graph neural network (3962) partial differential equation (222) curse of dimensionality (61) neural network optimization (1293)

Papers

Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective AAAI 2026
HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems AAAI 2026
DRM Revisited: A Complete Error Analysis JMLR 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025
Stable learning using spiking neural networks equipped with affine encoders and decoders JMLR 2025
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025
Understanding Multi-layered Transmission Matrices CVPR 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025
Operator Learning for Hyperbolic PDEs JMLR 2025
Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NIPS 2024
Selective Explanations NIPS 2024
Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NIPS 2024
Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023
Limits, approximation and size transferability for GNNs on sparse graphs via graphops NIPS 2023
Optimal approximation using complex-valued neural networks NIPS 2023
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal NIPS 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem NIPS 2023
On the Connection Between MPNN and Graph Transformer ICML 2023