DeepCover: Advancing RNN Test Coverage and Online Error Prediction using State Machine Extraction
Fuente:
arXiv
Saved in:
| Main Authors: | Golshanrad, Pouria, Faghih, Fathiyeh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Effective Black Box Testing of Sentiment Analysis Classification Networks
by: Karbasizadeh, Parsa, et al.
Published: (2024)
by: Karbasizadeh, Parsa, et al.
Published: (2024)
Effective Targeted Testing of Smart Contracts
by: Fooladgar, Mahdi, et al.
Published: (2024)
by: Fooladgar, Mahdi, et al.
Published: (2024)
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
by: Lu, Xiang-Li, et al.
Published: (2024)
by: Lu, Xiang-Li, et al.
Published: (2024)
Crash Severity Prediction Using Deep Learning Approaches: A Hybrid CNN-RNN Framework
by: Koohfar, Sahar
Published: (2025)
by: Koohfar, Sahar
Published: (2025)
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
by: Gupta, Aishwarya, et al.
Published: (2024)
by: Gupta, Aishwarya, et al.
Published: (2024)
Attention as an RNN
by: Feng, Leo, et al.
Published: (2024)
by: Feng, Leo, et al.
Published: (2024)
When Learning Hurts: Fixed-Pole RNN for Real-Time Online Training
by: Morgan, Alexander, et al.
Published: (2026)
by: Morgan, Alexander, et al.
Published: (2026)
Optimizing FPGA and Wafer Test Coverage with Spatial Sampling and Machine Learning
by: WeiQuan, Wang, et al.
Published: (2025)
by: WeiQuan, Wang, et al.
Published: (2025)
Hypercomplex Widely Linear Processing: Fundamentals for Quaternion Machine Learning
by: Talebi, Sayed Pouria, et al.
Published: (2026)
by: Talebi, Sayed Pouria, et al.
Published: (2026)
Online Selective Conformal Prediction: Errors and Solutions
by: Sale, Yusuf, et al.
Published: (2025)
by: Sale, Yusuf, et al.
Published: (2025)
Earthquake Damage Grades Prediction using An Ensemble Approach Integrating Advanced Machine and Deep Learning Models
by: Panda, Anurag, et al.
Published: (2025)
by: Panda, Anurag, et al.
Published: (2025)
RNN-Based Models for Predicting Seizure Onset in Epileptic Patients
by: Mounagurusamy, Mathan Kumar, et al.
Published: (2024)
by: Mounagurusamy, Mathan Kumar, et al.
Published: (2024)
Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection
by: Biradar, Jayant, et al.
Published: (2025)
by: Biradar, Jayant, et al.
Published: (2025)
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
by: Scemama, Paul, et al.
Published: (2023)
by: Scemama, Paul, et al.
Published: (2023)
PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN
by: Mohammadshirazi, Ahmad, et al.
Published: (2024)
by: Mohammadshirazi, Ahmad, et al.
Published: (2024)
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
by: Liu, Shuijing, et al.
Published: (2020)
by: Liu, Shuijing, et al.
Published: (2020)
StateX: Enhancing RNN Recall via Post-training State Expansion
by: Shen, Xingyu, et al.
Published: (2025)
by: Shen, Xingyu, et al.
Published: (2025)
RotRNN: Modelling Long Sequences with Rotations
by: Biegun, Kai, et al.
Published: (2024)
by: Biegun, Kai, et al.
Published: (2024)
Public Transit Arrival Prediction: a Seq2Seq RNN Approach
by: Bhutani, Nancy, et al.
Published: (2022)
by: Bhutani, Nancy, et al.
Published: (2022)
Chronic Diseases Prediction using Machine Learning and Deep Learning Methods
by: Belhad, Houda, et al.
Published: (2025)
by: Belhad, Houda, et al.
Published: (2025)
Low-rank Momentum Factorization for Memory Efficient Training
by: Mahdavinia, Pouria, et al.
Published: (2025)
by: Mahdavinia, Pouria, et al.
Published: (2025)
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
by: Jonnarth, Arvi, et al.
Published: (2024)
by: Jonnarth, Arvi, et al.
Published: (2024)
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning
by: Kapure, Nachiket, et al.
Published: (2025)
by: Kapure, Nachiket, et al.
Published: (2025)
Adaptive Coverage Policies in Conformal Prediction
by: Gauthier, Etienne, et al.
Published: (2025)
by: Gauthier, Etienne, et al.
Published: (2025)
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
by: Castanet, Nicolas, et al.
Published: (2025)
by: Castanet, Nicolas, et al.
Published: (2025)
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
by: Smyl, Slawek, et al.
Published: (2025)
by: Smyl, Slawek, et al.
Published: (2025)
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)
Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management
by: Xu, Zhen, et al.
Published: (2024)
by: Xu, Zhen, et al.
Published: (2024)
Cluster Frequency Conformal Prediction for Local Coverage
by: Lavi, Tomer, et al.
Published: (2026)
by: Lavi, Tomer, et al.
Published: (2026)
Active Sequential Two-Sample Testing
by: Li, Weizhi, et al.
Published: (2023)
by: Li, Weizhi, et al.
Published: (2023)
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
by: Mishra, Mayank, et al.
Published: (2026)
by: Mishra, Mayank, et al.
Published: (2026)
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
by: Mukherji, Rishav, et al.
Published: (2023)
by: Mukherji, Rishav, et al.
Published: (2023)
Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification
by: Lin, Xingqi, et al.
Published: (2025)
by: Lin, Xingqi, et al.
Published: (2025)
Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage
by: Tan, Kevin, et al.
Published: (2024)
by: Tan, Kevin, et al.
Published: (2024)
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
A Deep State-Space Model Compression Method using Upper Bound on Output Error
by: Sakamoto, Hiroki, et al.
Published: (2025)
by: Sakamoto, Hiroki, et al.
Published: (2025)
Stabilizing RNN Gradients through Pre-training
by: Herranz-Celotti, Luca, et al.
Published: (2023)
by: Herranz-Celotti, Luca, et al.
Published: (2023)
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
by: Shang, Ruibo, et al.
Published: (2024)
by: Shang, Ruibo, et al.
Published: (2024)
Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
by: Miry, Reza, et al.
Published: (2025)
by: Miry, Reza, et al.
Published: (2025)
Similar Items
-
Effective Black Box Testing of Sentiment Analysis Classification Networks
by: Karbasizadeh, Parsa, et al.
Published: (2024) -
Effective Targeted Testing of Smart Contracts
by: Fooladgar, Mahdi, et al.
Published: (2024) -
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
by: Lu, Xiang-Li, et al.
Published: (2024) -
Crash Severity Prediction Using Deep Learning Approaches: A Hybrid CNN-RNN Framework
by: Koohfar, Sahar
Published: (2025) -
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
by: Gupta, Aishwarya, et al.
Published: (2024)