deep-neural-networks

Documents about deep-neural-networks

• Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress#134563arXiv CS
• Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems#138913arXiv CS
• FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices#141498arXiv CS
• Template-Fitting Meets Deep Learning: Redshift Estimation Using Physics-Guided Neural Networks#141773arXiv (OAI)
• From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways#155286arXiv CS
• Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction#168305arXiv CS
• Feed-Forward Deep Neural Networks Predict Substrate-Specific Effects of Transporter Variants to Explain Drug Response Variability.#170570NCBI PubMed Central
• Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories#175258arXiv CS
• ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models#19712Semantic Scholar
• FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale#31255arXiv CS
• Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset#31290arXiv CS
• Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning#124042arXiv CS
• Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors#126500arXiv CS
• Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions#126504arXiv CS
• Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning#138925arXiv CS
• Sustained Gradient Alignment Mediates Subliminal Learning in a Multi-Step Setting: Evidence from MNIST Auxiliary Logit Distillation Experiment#141480arXiv CS
• Observable Performance Does Not Fully Reflect System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint#151719arXiv CS
• Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks#160783arXiv (OAI)
• Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training#178863arXiv CS
• Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture#20073DOAJ
• Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification#2607arXiv CS
• Shift- and stretch-invariant non-negative matrix factorization with an application to brain tissue delineation in emission tomography data#2618arXiv CS
• How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data#14025arXiv CS
• Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap#19022arXiv CS
• Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge#124065arXiv CS
• Stellar age determination using deep neural networks#124332HAL (France)
• Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair#134567arXiv CS
• Two-dimensional NMR from a single pulse: Reconstructing heteronuclear 2D spectra via off-resonance decoupling and deep neural networks.#143201NCBI PubMed Central
• Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography#175254arXiv CS
• Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo#10353arXiv CS
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations#6431OpenAlex
• DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park#2625arXiv CS
• Predicting Four-Year's Alzheimer's Disease Onset Using Longitudinal Neurocognitive Tests and MRI Data Using Explainable Deep Convolutional Neural Networks.#9323NCBI PubMed Central
• Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane#141472arXiv CS
• ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting#146940arXiv CS
• What Makes a Category Memorable? Human Conceptual Diversity Outpredicts Perceptual Similarity and Deep Neural Networks#176899OSF
• Deep learning-based differential diagnosis of major depression and bipolar disorder using microglia-cellular sensors and patient-derived small extracellular vesicles#5501Europe PMC
• Deep Learning Cognitive Diagnosis Models for Modeling Response and Process Data under Exam Settings#29819OSF
• Adaptive Inference for Cost-Efficient Deep Neural Networks#155961HAL (France)
• Apprentissage profond pour l'analyse des organoïdes : modélisation par graphes des architectures cellulaires 3D#161327HAL (France)
• Derin Öğrenme Tekniklerini Kullanarak RGB-D Nesne Tanıma#124646HAL (France)
• Bridging the Gap between MAC Optimization and Energy Efficiency in GPU-Powered Edge AI#142495HAL (France)
• Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings#5667Europe PMC
• <b>A transdiagnostic prefrontal fNIRS dataset from 1,228 participants during a verbal fluency task</b>#15688DataCite
• Machine learning meets real-time numerical simulation : application to surgical training, preoperative planning and surgical assistance#11576HAL (France)
• DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics#162586PLOS
• Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense#179046arXiv (OAI)
• Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense#179244arXiv (OAI Expanded)
• Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense#179639arXiv
• Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense#180501arXiv Biology