neural-networks

Documents about neural-networks

• Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting.#123091NCBI PubMed Central
• Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies#126534arXiv CS
• LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers#128315arXiv (OAI)
• Aligning Dense Retrievers with LLM Utility via DistillationAligning Dense Retrievers with LLM Utility via Distillation#134533arXiv CS
• Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm#134568arXiv CS
• A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency#134574arXiv CS
• Neural bases of consciousness in Zen meditation: central executive and default mode networks during cognitive conflict.#138496NCBI PubMed Central
• GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation#138930arXiv CS
• Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records#138932arXiv CS
• DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models#138951arXiv CS
• ARETE: Attention-based Rasterized Encoding for Topology Estimation using HSV-transformed Crowdsourced Vehicle Fleet Data#138954arXiv CS
• Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models#141488arXiv CS
• Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty#141513arXiv CS
• The dynamics of hepatitis B virus transmission using a stochastic differential model and feed forward neural network approach.#9677PubMed
• An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks#20601DOAJ
• Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks.#1420NCBI PubMed Central
• Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks#2591arXiv CS
• An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting#5953arXiv CS
• Visualizing and Understanding Convolutional Networks#6432OpenAlex
• Human Centered Non Intrusive Driver State Modeling Using Personalized Physiological Signals in Real World Automated Driving#10355arXiv CS
• NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity#10396arXiv CS
• Fine-Tuning Directional Message Passing Neural Networks: Predicting Properties of Conjugated Organic Polymers with High Accuracy.#12764NCBI PubMed Central
• Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs#13087arXiv CS
• A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning#13119arXiv CS
• BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization#14024arXiv CS
• Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information#19005arXiv CS
• Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data#19012arXiv CS
• Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration#19767Semantic Scholar
• Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review#19789Semantic Scholar
• Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions#19803Semantic Scholar
• The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback#31273arXiv CS
• Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering#120499arXiv CS
• A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs#124067arXiv CS
• A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation#126529arXiv CS
• Zero-Shot Morphological Discovery in Low-Resource Bantu Languages via Cross-Lingual Transfer and Unsupervised Clustering#134532arXiv CS
• Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes#134536arXiv CS
• Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization#135247Semantic Scholar
• SwitchNet: protecting neural networks by structure obfuscation and switch-controlled inference#137663Springer Nature OA
• Raman analysis of black carbon using artificial neural networks for emission source classification#140159Unpaywall
• How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum#141466arXiv CS
• Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models#141482arXiv CS
• Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)#144166arXiv (OAI)
• Rapid training of Hamiltonian graph networks using random features#144305arXiv (OAI)
• PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking#146928arXiv CS
• Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care#146936arXiv CS
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations#6431OpenAlex
• Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance#2587arXiv CS
• On Higher-Order Geometric Refinements of Classical Covariance Asymptotics: An Approach via Intrinsic and Extrinsic Information Geometry#13100arXiv CS
• An algorithmic system for arabic fake news detection using neural networks and transformer embeddings with class weighting.#13526NCBI PubMed Central
• Investigating performance and key factors for real-world deployment of grain image classification using convolutional neural networks.#14905NCBI PubMed Central