:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rigotti, Mattia, Thumiger, Nicholas, Frick, Thomas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.16849
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD
by: Thumiger, Nicholas, et al.
Published: (2026)

Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
by: Gai, Jingchu, et al.
Published: (2025)

On the generalization capacity of neural networks during generic multimodal reasoning
by: Ito, Takuya, et al.
Published: (2024)

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
by: Rioux, Gabriel, et al.
Published: (2024)

Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
by: McCart, Jonathan D., et al.
Published: (2024)

On the Expressive Power of Spectral Invariant Graph Neural Networks
by: Zhang, Bohang, et al.
Published: (2024)

Scalable Learning of Item Response Theory Models
by: Frick, Susanne, et al.
Published: (2024)

Unraveling the Key Components of OOD Generalization via Diversification
by: Benoit, Harold, et al.
Published: (2023)

A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
by: Holden, Roxanne, et al.
Published: (2025)

Invariant Representations with Stochastically Quantized Neural Networks
by: Cerrato, Mattia, et al.
Published: (2022)

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
by: Wang, Xinxin, et al.
Published: (2025)

Invariant Graph Transformer for Out-of-Distribution Generalization
by: Liao, Tianyin, et al.
Published: (2025)

SONIC: Spectral Oriented Neural Invariant Convolutions
by: Moens, Gijs Joppe, et al.
Published: (2026)

Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
by: Gurumurthy, Kishan, et al.
Published: (2025)

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2024)

Spectral Neural Graph Sparsification
by: Liguori, Angelica, et al.
Published: (2025)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
by: Zhang, Zeyang, et al.
Published: (2024)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
by: Bryutkin, Andrey, et al.
Published: (2024)

Technical Report: The Graph Spectral Token -- Enhancing Graph Transformers with Spectral Information
by: Pengmei, Zihan, et al.
Published: (2024)

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories
by: Rayat, Ali, et al.
Published: (2026)

GIST: Generated Inputs Sets Transferability in Deep Learning
by: Tambon, Florian, et al.
Published: (2023)

Invariant-Stratified Propagation for Expressive Graph Neural Networks
by: Hevapathige, Asela, et al.
Published: (2026)

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
by: Chen, Dexiong, et al.
Published: (2025)

Spectral Transformer Neural Processes
by: Chen, Xianhe, et al.
Published: (2026)

PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA
by: Wang, Shihao, et al.
Published: (2026)

Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
by: Sun, Yixuan, et al.
Published: (2025)

Asymmetric Learning for Spectral Graph Neural Networks
by: Liu, Fangbing, et al.
Published: (2024)

An ALE-Consistent Graph Neural Operator-Transformer Framework for Fluid-Structure Interaction
by: Zhao, Shihang, et al.
Published: (2026)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
by: Mroueh, Youssef, et al.
Published: (2025)

Distributional Preference Alignment of LLMs via Optimal Transport
by: Melnyk, Igor, et al.
Published: (2024)

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
by: Xia, Donglin, et al.
Published: (2024)

Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
by: Cheng, Pengcheng
Published: (2026)

Spatio-Spectral Graph Neural Networks
by: Geisler, Simon, et al.
Published: (2024)

Universal Approximation of Operators with Transformers and Neural Integral Operators
by: Zappala, Emanuele, et al.
Published: (2024)

Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
by: Hordan, Snir, et al.
Published: (2025)

Simple Path Structural Encoding for Graph Transformers
by: Airale, Louis, et al.
Published: (2025)

Full-Spectrum Graph Neural Networks: Expressive and Scalable
by: Wang, Xiaohan, et al.
Published: (2026)

Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting
by: Shu, Yuxuan, et al.
Published: (2025)

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
by: Luo, Renqiang, et al.
Published: (2024)

GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
by: Bou-Rabee, Nawaf, et al.
Published: (2024)