:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hassanloo, Matin, Zareh, Ali, Özdemir, Mehmet Kemal
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.09264
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Introducing Interval Neural Networks for Uncertainty-Aware System Identification
by: Ferah, Mehmet Ali, et al.
Published: (2025)

Anomaly Detection Based on Critical Paths for Deep Neural Networks
by: Zhao, Fangzhen, et al.
Published: (2025)

Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation
by: Forootani, Ali, et al.
Published: (2024)

Deep Neural Networks via Complex Network Theory: a Perspective
by: La Malfa, Emanuele, et al.
Published: (2024)

On The Presence of Double-Descent in Deep Reinforcement Learning
by: Veselý, Viktor, et al.
Published: (2025)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
by: Xie, Hong Xin, et al.
Published: (2025)

Towards Scalable and Deep Graph Neural Networks via Noise Masking
by: Liang, Yuxuan, et al.
Published: (2024)

ThermoQA: A Three-Tier Benchmark for Evaluating Thermodynamic Reasoning in Large Language Models
by: Düzkar, Kemal
Published: (2026)

Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
by: Song, Hui, et al.
Published: (2024)

Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)

Attention-Enhanced Deep Learning for Device-Free Through-the-Wall Presence Detection Using Indoor WiFi Systems
by: Shen, Li-Hsiang, et al.
Published: (2023)

A Survey of Anomaly Detection in In-Vehicle Networks
by: Özdemir, Övgü, et al.
Published: (2024)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
by: Aghaei, Matin, et al.
Published: (2025)

Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies
by: Li, Haiyang, et al.
Published: (2025)

Deep Neural Network Benchmarks for Selective Classification
by: Pugnana, Andrea, et al.
Published: (2024)

Proximity-Informed Calibration for Deep Neural Networks
by: Xiong, Miao, et al.
Published: (2023)

Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
by: Ali, Sahara, et al.
Published: (2024)

Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
by: Ren, Yi
Published: (2025)

Graphs Unveiled: Graph Neural Networks and Graph Generation
by: Kovács, László, et al.
Published: (2024)

On the Weight Dynamics of Deep Normalized Networks
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2023)

RESQ: A Unified Framework for REliability- and Security Enhancement of Quantized Deep Neural Networks
by: Mohammadi, Ali Soltan, et al.
Published: (2026)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
by: Zhou, Jingbo, et al.
Published: (2023)

Quantitative CLTs in Deep Neural Networks
by: Favaro, Stefano, et al.
Published: (2023)

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
by: Fang, Ronglong, et al.
Published: (2024)

Supervised Dynamic Dimension Reduction with Deep Neural Network
by: Luo, Zhanye, et al.
Published: (2025)

Decoding Generalization from Memorization in Deep Neural Networks
by: Ketha, Simran, et al.
Published: (2025)

Compressing Deep Neural Networks Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)

Deep Manifold Part 2: Neural Network Mathematics
by: Ma, Max Y., et al.
Published: (2025)

Human-like Forgetting Curves in Deep Neural Networks
by: Kline, Dylan
Published: (2025)

Enhancing Deep Neural Network Reliability with Refinement and Calibration
by: Hebbalaguppe, Ramya, et al.
Published: (2026)

Set-Valued Sensitivity Analysis of Deep Neural Networks
by: Wang, Xin, et al.
Published: (2024)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
by: Li, Xin-Chun, et al.
Published: (2024)

Hierarchical Zero-Order Optimization for Deep Neural Networks
by: Cao, Sansheng, et al.
Published: (2026)

Increasing the Confidence of Deep Neural Networks by Coverage Analysis
by: Rossolini, Giulio, et al.
Published: (2021)

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

Stock Market Price Prediction using Neural Prophet with Deep Neural Network
by: Chhibber, Navin, et al.
Published: (2026)

TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)

Online Neural Networks for Change-Point Detection
by: Hushchyn, Mikhail, et al.
Published: (2020)