neural-networks

Documents about neural-networks

• On Logical Inference over Brains, Behaviour, and Artificial Neural Networks#112634PhilArchive
• RouteNet-Fermi: Network Modeling With Graph Neural Networks#120632Semantic Scholar
• Supplement Generation Training for Enhancing Agentic Task Performance#124052arXiv CS
• Tokenised Flow Matching for Hierarchical Simulation Based Inference#124053arXiv CS
• COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling#124054arXiv CS
• Too Sharp, Too Sure: When Calibration Follows Curvature#124064arXiv CS
• On Bayesian Softmax-Gated Mixture-of-Experts Models#124070arXiv CS
• CHASM: Unveiling Covert Advertisements on Chinese Social Media#124072arXiv CS
• QuanForge: A Mutation Testing Framework for Quantum Neural Networks#124092arXiv CS
• Fine-Tuning Regimes Define Distinct Continual Learning Problems#126495arXiv CS
• PrismaDV: Automated Task-Aware Data Unit Test Generation#126511arXiv CS
• Transferable SCF-Acceleration through Solver-Aligned Initialization Learning#126524arXiv CS
• A Kernel Nonconformity Score for Multivariate Conformal Prediction#126532arXiv CS
• CoFEE: Reasoning Control for LLM-Based Feature Discovery#126533arXiv CS
• Adaptive Head Budgeting for Efficient Multi-Head Attention#134544arXiv CS
• Useful nonrobust features are ubiquitous in biomedical images#134546arXiv CS
• FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet#134557arXiv CS
• A Functorial Formulation of Neighborhood Aggregating Deep Learning#138917arXiv CS
• Enhancing molecular dynamics with equivariant machine-learned densities#138927arXiv CS
• MIMIC: A Generative Multimodal Foundation Model for Biomolecules#138938arXiv CS
• Modeling Behavioral Intensity and Transitions for Generative Recommendation#138941arXiv CS
• Scaling Properties of Continuous Diffusion Spoken Language Models#138944arXiv CS
• An Aircraft Upset Recovery System with Reinforcement Learning#138953arXiv CS
• Investigation into In-Context Learning Capabilities of Transformers#141474arXiv CS
• Towards interpretable AI with quantum annealing feature selection#141486arXiv CS
• Safe-Support Q-Learning: Learning without Unsafe Exploration#141500arXiv CS
• Online learning with Erdős-Rényi side-observation graphs#141509arXiv CS
• PhyCo: Learning Controllable Physical Priors for Generative Motion#146912arXiv CS
• Global Optimality for Constrained Exploration via Penalty Regularization#146917arXiv CS
• Shuffling-Aware Optimization for Private Vector Mean Estimation#146931arXiv CS
• Probabilistic Circuits for Irregular Multivariate Time Series Forecasting#146955arXiv CS
• Resource-efficient equivariant quantum convolutional neural networks#149188arXiv (OAI)
• Generating Statistical Charts with Validation-Driven LLM Workflows#151715arXiv CS
• Position: agentic AI orchestration should be Bayes-consistent#151725arXiv CS
• Temporal Data Requirement for Predicting Unplanned Hospital Readmissions#151727arXiv CS
• Knowing when to trust machine-learned interatomic potentials#151745arXiv CS
• Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training#5984arXiv CS
• Spectral Networks and Locally Connected Networks on Graphs#6671OpenAlex
• Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs).#1179NCBI PubMed Central
• Differentially Private Language Generation and Identification in the Limit#2584arXiv CS
• QARIMA: A Quantum Approach To Classical Time Series Analysis#2610arXiv CS
• Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning#2617arXiv CS
• LINE: LLM-based Iterative Neuron Explanations for Vision Models#2628arXiv CS
• AFGNN: API Misuse Detection using Graph Neural Networks and Clustering#2675arXiv CS
• SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning#5952arXiv CS
• AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning#5956arXiv CS
• PhysInOne: Visual Physics Learning and Reasoning in One Suite#5960arXiv CS
• OASIS: Online Activation Subspace Learning for Memory-Efficient Training#5963arXiv CS
• Iterative Identification Closure: Amplifying Causal Identifiability in Linear SEMs#5974arXiv CS
• Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Images#5981arXiv CS