Imagen de Portada

Quantification using Permutation-Invariant Networks based on Histograms

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pérez-Mon, Olaya, Moreo, Alejandro, del Coz, Juan José, González, Pablo
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantification via Gaussian Latent Space Representations
por: Pérez-Mon, Olaya, et al.
Publicado: (2025)

Kernel Density Estimation for Multiclass Quantification
por: Moreo, Alejandro, et al.
Publicado: (2023)

On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
por: Moreo, Alejandro
Publicado: (2025)

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
por: Zhao, Lingxiao, et al.
Publicado: (2024)

Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications
por: Diaz-Guerra, David, et al.
Publicado: (2023)

Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
por: Gelberg, Yoav, et al.
Publicado: (2024)

Permutation-Invariant Spectral Learning via Dyson Diffusion
por: Schwarz, Tassilo, et al.
Publicado: (2025)

Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms
por: Moody, Jamison, et al.
Publicado: (2025)

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
por: Hevapathige, Asela, et al.
Publicado: (2023)

Permutation Invariant Learning with High-Dimensional Particle Filters
por: Boopathy, Akhilan, et al.
Publicado: (2024)

ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs
por: Baser, Manit, et al.
Publicado: (2025)

Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
por: Su, Xinyan, et al.
Publicado: (2026)

Set-LLM: A Permutation-Invariant LLM
por: Egressy, Beni, et al.
Publicado: (2025)

Extended Histogram-based Outlier Score (EHBOS)
por: Islam, Tanvir
Publicado: (2025)

GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
por: Bicciato, Alessandro, et al.
Publicado: (2024)

Conditional Density Estimation with Histogram Trees
por: Yang, Lincen, et al.
Publicado: (2024)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
por: Liu, Rui, et al.
Publicado: (2025)

Approximation of Permutation Invariant Polynomials by Transformers: Efficient Construction in Column-Size
por: Takeshita, Naoki, et al.
Publicado: (2025)

Histogram-Equalized Quantization for logic-gated Residual Neural Networks
por: Nguyen, Van Thien, et al.
Publicado: (2025)

CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks
por: Damke, Clemens, et al.
Publicado: (2024)

Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed Prediction
por: Tian, Ganglin, et al.
Publicado: (2025)

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
por: Muzaffar, Junaid, et al.
Publicado: (2025)

Transductive Model Selection under Prior Probability Shift
por: Volpi, Lorenzo, et al.
Publicado: (2025)

Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
por: Mohammadi, Amirmohammad, et al.
Publicado: (2025)

Investigating the Histogram Loss in Regression
por: Imani, Ehsan, et al.
Publicado: (2024)

PICASO: Permutation-Invariant Context Composition with State Space Models
por: Liu, Tian Yu, et al.
Publicado: (2025)

Continuous Histogram Loss: Beyond Neural Similarity
por: Zholus, Artem, et al.
Publicado: (2020)

Histogram Approaches for Imbalanced Data Streams Regression
por: Aminian, Ehsan, et al.
Publicado: (2025)

SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
por: Le, Trung, et al.
Publicado: (2025)

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
por: Liu, Rui, et al.
Publicado: (2025)

Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data
por: Lindskog, William, et al.
Publicado: (2024)

Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation
por: Corbara, Silvia, et al.
Publicado: (2024)

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
por: Stirling, Jamie S. J., et al.
Publicado: (2026)

VAMP-Net: An Interpretable Multi-Path Network of Genomic Permutation-Invariant Set Attention and Quality-Aware 1D-CNN for MTB Drug Resistance
por: Boutorh, Aicha, et al.
Publicado: (2025)

High-dimensional and Permutation Invariant Anomaly Detection
por: Mikuni, Vinicius, et al.
Publicado: (2023)

Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
por: Wu, Luhuan, et al.
Publicado: (2024)

On the Expressive Power of Permutation-Equivariant Weight-Space Networks
por: Dayan, Adir, et al.
Publicado: (2026)

PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
por: Kabir, M. Humayun, et al.
Publicado: (2025)

Variational Graph Neural Networks for Uncertainty Quantification in Inverse Problems
por: Gonzalez, David, et al.
Publicado: (2026)

Activation-Space Uncertainty Quantification for Pretrained Networks
por: Bergna, Richard, et al.
Publicado: (2026)