neural-networks

Documents about neural-networks

• Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics#141483arXiv CS
• PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection#141487arXiv CS
• Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty#141493arXiv CS
• Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information#141495arXiv CS
• Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics#141512arXiv CS
• HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era#144197arXiv (OAI)
• FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems#146915arXiv CS
• Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management#146929arXiv CS
• TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning#146952arXiv CS
• Federated Learning for Thoracic Disease Classification Using Convolutional Neural Networks and Differential Privacy.#151448NCBI PubMed Central
• From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting#151742arXiv CS
• Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision#151743arXiv CS
• Image Classification in Memristor-Based Neural Networks: A Comparative Study of Software and Hardware Models Using RRAM Crossbars#11645HAL (France)
• Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography#20265DOAJ
• Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents#149261arXiv (OAI)
• Bias-Constrained Diffusion Schedules for PDE Emulations: Reconstruction Error Minimization and Efficient Unrolled Training#2603arXiv CS
• OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation#2624arXiv CS
• Harnessing Dynamics of Van Der Pol Oscillators for Phase Computing with Oscillatory Neural Networks#4956Europe PMC
• Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies#5987arXiv CS
• Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection#5990arXiv CS
• Semi-Supervised Classification with Graph Convolutional Networks#7014OpenAlex
• Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems#10330arXiv CS
• KL Divergence Between Gaussians: A Step-by-Step Derivation for the Variational Autoencoder Objective#10337arXiv CS
• Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind#10343arXiv CS
• Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement Enhancements#10350arXiv CS
• Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach#10356arXiv CS
• Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems#10360arXiv CS
• Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization#10362arXiv CS
• Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers#10363arXiv CS
• Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation#13078arXiv CS
• Frequency-aware Decomposition Learning for Sensorless Wrench Forecasting on a Vibration-rich Hydraulic Manipulator#13086arXiv CS
• Do VLMs Truly "Read" Candlesticks? A Multi-Scale Benchmark for Visual Stock Price Forecasting#13105arXiv CS
• From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space#14001arXiv CS
• ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation#14006arXiv CS
• A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing#14011arXiv CS
• First-See-Then-Design: A Multi-Stakeholder View for Optimal Performance-Fairness Trade-Offs#14014arXiv CS
• Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study#14029arXiv CS
• Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine#14049arXiv CS
• SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation#18999arXiv CS
• Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier#19002arXiv CS
• An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation#19011arXiv CS
• When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning#19024arXiv CS
• A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms#19718Semantic Scholar
• Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review#19732Semantic Scholar
• Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks#19736Semantic Scholar
• AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks#19739Semantic Scholar
• Genetic algorithm for the optimization of features and neural networks in ECG signals classification#19775Semantic Scholar
• Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images.#28242NCBI PubMed Central
• Constant-Factor Approximations for Doubly Constrained Fair k-Center, k-Median and k-Means#31280arXiv CS
• Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures#31283arXiv CS