Cover Image

Gauge-invariant representation holonomy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sevetlidis, Vasileios, Pavlidis, George
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Process-Tensor Tomography of SGD: Measuring Non-Markovian Memory via Back-Flow of Distinguishability
by: Sevetlidis, Vasileios, et al.
Published: (2026)

Angular Regularization for Positive-Unlabeled Learning on the Hypersphere
by: Sevetlidis, Vasileios, et al.
Published: (2025)

Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
by: Sevetlidis, Vasileios, et al.
Published: (2023)

Training Memory in Deep Neural Networks: Mechanisms, Evidence, and Measurement Gaps
by: Sevetlidis, Vasileios, et al.
Published: (2026)

Defect detection using weakly supervised learning
by: Sevetlidis, Vasileios, et al.
Published: (2023)

A Fiber Criterion for Representation Identifiability in Supervised Learning
by: Sevetlidis, Vasileios
Published: (2026)

Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction
by: Tsiolakis, Theodoros, et al.
Published: (2024)

Causal invariant geographic network representations with feature and structural distribution shifts
by: Wang, Yuhan, et al.
Published: (2025)

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
by: Pavlidis, Nikolaos, et al.
Published: (2024)

Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains
by: Oshima, Hisashi, et al.
Published: (2024)

Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)

A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning
by: Tsoumplekas, Georgios, et al.
Published: (2024)

On permutation-invariant neural networks
by: Kimura, Masanari, et al.
Published: (2024)

Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification
by: Zhang, Xu, et al.
Published: (2025)

Tensor Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)

Higher Gauge Flow Models
by: Strunk, Alexander, et al.
Published: (2025)

Transformers converge to invariant algorithmic cores
by: Schiffman, Joshua S.
Published: (2026)

Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
by: Siniosoglou, Ilias, et al.
Published: (2024)

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

Predictive representations: building blocks of intelligence
by: Carvalho, Wilka, et al.
Published: (2024)

Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA
by: Chen, Jinqian, et al.
Published: (2026)

Contrastive representations of high-dimensional, structured treatments
by: Andreu, Oriol Corcoll, et al.
Published: (2024)

On convex decision regions in deep network representations
by: Tětková, Lenka, et al.
Published: (2023)

Towards efficient representation identification in supervised learning
by: Ahuja, Kartik, et al.
Published: (2022)

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
by: Tsoumplekas, Georgios, et al.
Published: (2024)

Deep reinforcement learning with time-scale invariant memory
by: Kabir, Md Rysul, et al.
Published: (2024)

Federated Learning for Early Prediction of EV Charging Demand
by: Perifanis, Vasilis, et al.
Published: (2026)

Curriculum reinforcement learning with measurable task representation learning
by: Wen, Yongyan, et al.
Published: (2026)

Concept frustration: Aligning human concepts and machine representations
by: Parisini, Enrico, et al.
Published: (2026)

Discrete, compositional, and symbolic representations through attractor dynamics
by: Nam, Andrew, et al.
Published: (2023)

Latent label distribution grid representation for modeling uncertainty
by: Sun, ShuNing, et al.
Published: (2025)

Knowledge distillation through geometry-aware representational alignment
by: Bhattarai, Prajjwal, et al.
Published: (2025)

JSON-Bag: A generic game trajectory representation
by: Nguyen, Dien, et al.
Published: (2025)

Light-weight probing of unsupervised representations for Reinforcement Learning
by: Zhang, Wancong, et al.
Published: (2022)

FLASH-D: FlashAttention with Hidden Softmax Division
by: Alexandridis, Kosmas, et al.
Published: (2025)

HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks
by: Nadera, Noujoud, et al.
Published: (2026)

Occam's model: Selecting simpler representations for better transferability estimation
by: Singh, Prabhant, et al.
Published: (2025)

Addressing divergent representations from causal interventions on neural networks
by: Grant, Satchel, et al.
Published: (2025)

The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization
by: Bouyahia, Abdelali, et al.
Published: (2026)

A calibration test for evaluating set-based epistemic uncertainty representations
by: Jürgens, Mira, et al.
Published: (2025)