:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cabannes, Vivien, Bach, Francis
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2306.00742
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Touring sampling with pushforward maps
by: Cabannes, Vivien, et al.
Published: (2023)

Learning Associative Memories with Gradient Descent
by: Cabannes, Vivien, et al.
Published: (2024)

Provable Benefits of In-Tool Learning for Large Language Models
by: Houliston, Sam, et al.
Published: (2025)

Learning with Hidden Factorial Structure
by: Arnal, Charles, et al.
Published: (2024)

Convergence of Shallow ReLU Networks on Weakly Interacting Data
by: Dana, Léo, et al.
Published: (2025)

Scaling Laws for Associative Memories
by: Cabannes, Vivien, et al.
Published: (2023)

Iteration Head: A Mechanistic Study of Chain-of-Thought
by: Cabannes, Vivien, et al.
Published: (2024)

CalArena: A Large-Scale Post-Hoc Calibration Benchmark
by: Berta, Eugène, et al.
Published: (2026)

Rethinking Early Stopping: Refine, Then Calibrate
by: Berta, Eugène, et al.
Published: (2025)

Conditional Coverage Diagnostics for Conformal Prediction
by: Braun, Sacha, et al.
Published: (2025)

Structured Matrix Scaling for Multi-Class Calibration
by: Berta, Eugène, et al.
Published: (2025)

Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
by: Braun, Sacha, et al.
Published: (2026)

Clustering Head: A Visual Case Study of the Training Dynamics in Transformers
by: Odonnat, Ambroise, et al.
Published: (2024)

Graph Persistence goes Spectral
by: Ji, Mattie, et al.
Published: (2025)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)

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

Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)

Easing Optimization Paths: a Circuit Perspective
by: Odonnat, Ambroise, et al.
Published: (2025)

Fast Graph Generation via Spectral Diffusion
by: Luo, Tianze, et al.
Published: (2022)

Spectral Greedy Coresets for Graph Neural Networks
by: Ding, Mucong, et al.
Published: (2024)

Piecewise Constant Spectral Graph Neural Network
by: Martirosyan, Vahan, et al.
Published: (2025)

Rough Sets for Explainability of Spectral Graph Clustering
by: Starosta, Bartłomiej, et al.
Published: (2025)

Short window attention enables long-term memorization
by: Cabannes, Loïc, et al.
Published: (2025)

PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding
by: Lin, Longlong, et al.
Published: (2024)

Multi-Head Spectral-Adaptive Graph Anomaly Detection
by: Cao, Qingyue, et al.
Published: (2025)

S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)

SA-GDA: Spectral Augmentation for Graph Domain Adaptation
by: Pang, Jinhui, et al.
Published: (2024)

Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
by: Coşkun, Mustafa, et al.
Published: (2024)

eMargin: Revisiting Contrastive Learning with Margin-Based Separation
by: Shamba, Abdul-Kazeem, et al.
Published: (2025)

Learning to Discover Iterative Spectral Algorithms
by: Liu, Zihang, et al.
Published: (2026)

Multivariate Standardized Residuals for Conformal Prediction
by: Braun, Sacha, et al.
Published: (2025)

Minimum Volume Conformal Sets for Multivariate Regression
by: Braun, Sacha, et al.
Published: (2025)

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
by: Downer, Jane, et al.
Published: (2024)

Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach
by: Kalamkar, Pratik N., et al.
Published: (2025)

Stochastic activations
by: Lomeli, Maria, et al.
Published: (2025)

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
by: Qharabagh, Muhammad Fetrat, et al.
Published: (2026)

Approaching Deep Learning through the Spectral Dynamics of Weights
by: Yunis, David, et al.
Published: (2024)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
by: Guo, Jingwei, et al.
Published: (2024)

Multi-View Spectral Clustering for Graphs with Multiple View Structures
by: Tsitsikas, Yorgos, et al.
Published: (2025)

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