:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zheng, Bouguila, Nizar
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.18795
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time series forecasting with Hahn Kolmogorov-Arnold networks
by: Hasan, Md Zahidul, et al.
Published: (2026)

Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
by: Nfissi, Alaa, et al.
Published: (2024)

Iterative Feature Boosting for Explainable Speech Emotion Recognition
by: Nfissi, Alaa, et al.
Published: (2024)

Bi‐Directional Recurrent Attentional Topic Model Using Flexible Priors
by: Pantea Koochemeshkian, et al.
Published: (2026)

PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
by: Golpayegani, Zahra, et al.
Published: (2024)

Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning
by: Kong, Deqian, et al.
Published: (2026)

Moment-Based Inference for Regression with Latent Dirichlet Covariates
by: Jiang, Ziyu
Published: (2026)

A Differentiable Bayesian Relaxation for Latent Partial-Order Inference
by: Li, Dongqing, et al.
Published: (2026)

Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
by: Lai, Jinlin, et al.
Published: (2026)

On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation
by: Geiger, Benedikt, et al.
Published: (2024)

From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification
by: Olczak, Jakub, et al.
Published: (2024)

Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
by: Chen, Youguang, et al.
Published: (2026)

Point Cloud as a Foreign Language for Multi-modal Large Language Model
by: Paul, Sneha, et al.
Published: (2026)

An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models
by: Paul, Sneha, et al.
Published: (2026)

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
by: Paul, Sneha, et al.
Published: (2024)

Learning discrete Bayesian networks with hierarchical Dirichlet shrinkage
by: Dombowsky, Alexander, et al.
Published: (2025)

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute
by: Liu, Sheng, et al.
Published: (2025)

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
by: Tsurumaki, Kazuki, et al.
Published: (2024)

Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
by: Lefringhausen, Robert, et al.
Published: (2025)

Nearly Optimal Bayesian Inference for Structural Missingness
by: Liang, Chen, et al.
Published: (2026)

Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
by: García-Méndez, Silvia, et al.
Published: (2024)

Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors
by: Labarthe, Aldric
Published: (2026)

Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
by: Hu, Jiawei, et al.
Published: (2025)

Variational Bayesian Inference for Tensor Robust Principal Component Analysis
by: Wang, Chao, et al.
Published: (2024)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
by: Zheng, Zemin, et al.
Published: (2025)

Orthogonal Random Features: Explicit Forms and Sharp Inequalities
by: Demni, Nizar, et al.
Published: (2023)

Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)

Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
by: Zhang, Yan, et al.
Published: (2026)

Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
by: Boyar, Onur, et al.
Published: (2023)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
by: Kong, Deqian, et al.
Published: (2024)

SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices
by: Zhuge, Xiangwen, et al.
Published: (2025)

Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness
by: Golpayegani, Zahra, et al.
Published: (2024)

UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference
by: Zhou, Lang, et al.
Published: (2026)

Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
by: Mantripragada, Kiran, et al.
Published: (2022)

Bayesian Prediction-Powered Inference
by: Hofer, R. Alex, et al.
Published: (2024)

Time-Aware Latent Space Bayesian Optimization
by: Vu, Tuan A., et al.
Published: (2026)

Joint Composite Latent Space Bayesian Optimization
by: Maus, Natalie, et al.
Published: (2023)

Statistical Inference of Optimal Allocations I: Regularities and their Implications
by: Feng, Kai, et al.
Published: (2024)

Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
by: Nguyen, Bac, et al.
Published: (2024)

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction
by: Hamad, Mohamed, et al.
Published: (2025)