Cover Image

Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alam, Shahnawaz, Uddin, Mohammed Mudassir, Pasha, Mohammed Kaif
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)

Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)

AgentCompress: Task-Aware Compression for Affordable Large Language Model Agents
by: Taha, Zuhair Ahmed Khan, et al.
Published: (2026)

LAF-YOLOv10 with Partial Convolution Backbone, Attention-Guided Feature Pyramid, Auxiliary P2 Head, and Wise-IoU Loss for Small Object Detection in Drone Aerial Imagery
by: Farooqui, Sohail Ali, et al.
Published: (2026)

SecureCAI: Injection-Resilient LLM Assistants for Cybersecurity Operations
by: Ali, Mohammed Himayath, et al.
Published: (2026)

DriftGuard: A Hierarchical Framework for Concept Drift Detection and Remediation in Supply Chain Forecasting
by: Alam, Shahnawaz, et al.
Published: (2026)

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
by: Valiuddin, M. M. A., et al.
Published: (2024)

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees
by: Ali, Mohammed Himayath, et al.
Published: (2026)

DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2024)

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
by: Karim, Mohammed Asad, et al.
Published: (2026)

Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
by: Hasan, Basna Mohammed Salih, et al.
Published: (2025)

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
by: Aledhari, Mohammed, et al.
Published: (2024)

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning
by: Zhang, Yan, et al.
Published: (2024)

BUSTR: Breast Ultrasound Text Reporting with a Descriptor-Aware Vision-Language Model
by: Mohammed, Rawa, et al.
Published: (2025)

Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)

A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
by: Hasan, Basna Mohammed Salih, et al.
Published: (2025)

Quantifying Deep Learning Model Uncertainty in Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2023)

LeafLife: An Explainable Deep Learning Framework with Robustness for Grape Leaf Disease Recognition
by: Alam, B. M. Shahria, et al.
Published: (2026)

A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2025)

Layout-Aware Representation Learning for Open-Set ID Fraud Discovery
by: Li, Jinxing, et al.
Published: (2026)

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
by: Aniraj, Ananthu, et al.
Published: (2024)

MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion
by: Shah, Syed Omer, et al.
Published: (2026)

ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification
by: Zhang, Congjing, et al.
Published: (2025)

A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2024)

Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
by: Hirose, Osamu, et al.
Published: (2026)

Impact of Architectural Modifications on Deep Learning Adversarial Robustness
by: Juraev, Firuz, et al.
Published: (2024)

TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
by: Zarrar, Mohammed Misbah, et al.
Published: (2024)

Leaf-Based Plant Disease Detection and Explainable AI
by: Sagar, Saurav, et al.
Published: (2023)

Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
by: Mody, Prerak, et al.
Published: (2024)

Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset
by: Zabin, Mahe, et al.
Published: (2025)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
by: Aristodemou, Marios, et al.
Published: (2025)

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)

Uncertainty Quantification in Continual Open-World Learning
by: Rios, Amanda S., et al.
Published: (2024)

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
by: Chen, Mulin, et al.
Published: (2024)

Visual Attention Methods in Deep Learning: An In-Depth Survey
by: Hassanin, Mohammed, et al.
Published: (2022)

From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
by: Juraev, Firuz, et al.
Published: (2024)

Deep Variational Bayesian Modeling of Haze Degradation Process
by: Im, Eun Woo, et al.
Published: (2024)

Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2024)

Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification
by: Fierro, Juan Manuel Liscano, et al.
Published: (2025)

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification
by: Sibhai, Mohammed Maaz, et al.
Published: (2026)