:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Margaryan, Joseph, Hamelryck, Thomas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.21965
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AlphaFold's Bayesian Roots in Probability Kinematics
by: Hamelryck, Thomas, et al.
Published: (2025)

ELBOing Stein: Variational Bayes with Stein Mixture Inference
by: Rønning, Ola, et al.
Published: (2024)

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
by: Margaryan, Mane, et al.
Published: (2022)

SPRINT: Efficient Spectral Priors for Humanoid Athletic Sprints
by: Wei, Yantong, et al.
Published: (2026)

Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks
by: Sharma, Kaustubh, et al.
Published: (2026)

Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
by: Baek, Jinwoo
Published: (2025)

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis
by: Jawad, Tawsik, et al.
Published: (2026)

Prior-Informed Neural Network Initialization: A Spectral Approach for Function Parameterizing Architectures
by: Torres, David Orlando Salazar, et al.
Published: (2026)

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
by: Grishina, Ekaterina, et al.
Published: (2024)

Universal Spectral Transfer with Physical Prior-Informed Deep Generative Learning
by: Zhu, Yanmin, et al.
Published: (2024)

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
by: Feng, Xuchen, et al.
Published: (2025)

The Vekua Layer: Exact Physical Priors for Implicit Neural Representations via Generalized Analytic Functions
by: Khasia, Vladimer
Published: (2025)

Spectral Analysis of Diffusion Models with Application to Schedule Design
by: Benita, Roi, et al.
Published: (2025)

PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
by: Guo, Zhaochen, et al.
Published: (2026)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers
by: Shrivastava, Gaurav, et al.
Published: (2024)

Compact Memory for Continual Logistic Regression
by: Jung, Yohan, et al.
Published: (2025)

Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
by: Saada, Thiziri Nait, et al.
Published: (2024)

Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors
by: Qin, Yuze, et al.
Published: (2026)

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
by: Xu, Jian, et al.
Published: (2024)

Spectral Norm of Convolutional Layers with Circular and Zero Paddings
by: Delattre, Blaise, et al.
Published: (2024)

Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
by: Liu, Xuyuan, et al.
Published: (2025)

From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
by: Zhao, Wenyuan, et al.
Published: (2025)

Is the Last Layer Sufficient for Uncertainty Quantification?
by: Wilson, Joseph, et al.
Published: (2026)

Identifiable Bayesian Deep Generative Copulas with Unknown Layer Widths for Data with Arbitrary Marginal Distributions
by: Feldman, Joseph, et al.
Published: (2026)

Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking
by: Xu, Yongzhong
Published: (2026)

Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)

Interpreting Attention Layer Outputs with Sparse Autoencoders
by: Kissane, Connor, et al.
Published: (2024)

Dynamic Switch Layers For Unsupervised Learning
by: Li, Haiguang, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
by: Ding, Xinyu, et al.
Published: (2025)

Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
by: Kammonen, Aku, et al.
Published: (2024)

The Compact Support Neural Network
by: Barbu, Adrian, et al.
Published: (2021)

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
by: George, Robert Joseph, et al.
Published: (2022)

PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
by: Yang, Yang, et al.
Published: (2025)

LLM-Prior: A Framework for Knowledge-Driven Prior Elicitation and Aggregation
by: Huang, Yongchao
Published: (2025)

OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction
by: Li, Gehui, et al.
Published: (2024)

Sparse Attention as Compact Kernel Regression
by: Santos, Saul, et al.
Published: (2026)

Compact Recurrent Transformer with Persistent Memory
by: Mucllari, Edison, et al.
Published: (2025)

Block Circulant Adapter for Large Language Models
by: Ding, Xinyu, et al.
Published: (2025)

CAST: Compositional Analysis via Spectral Tracking for Understanding Transformer Layer Functions
by: Fu, Zihao, et al.
Published: (2025)

Spectral methods: crucial for machine learning, natural for quantum computers?
by: Belis, Vasilis, et al.
Published: (2026)