neural-networks

Documents about neural-networks

• Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces#124041arXiv CS
• Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference#124043arXiv CS
• V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization#124046arXiv CS
• MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM Alignment#124057arXiv CS
• Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales#124058arXiv CS
• Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning#124062arXiv CS
• Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis#124068arXiv CS
• Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models#124076arXiv CS
• Computational nanobody design using graph neural networks and Metropolis Monte Carlo sampling.#125360NCBI PubMed Central
• A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models#126499arXiv CS
• On the algebra of Koopman eigenfunctions and on some of their infinities#126506arXiv CS
• Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask#126526arXiv CS
• Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization#126535arXiv CS
• Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics#126542arXiv CS
• Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks#131285arXiv (OAI)
• Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs#134555arXiv CS
• Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents#134561arXiv CS
• SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions#134573arXiv CS
• Personalized deep neural networks reveal mechanisms of math learning disabilities in children.#135955NCBI PubMed Central
• XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation#138924arXiv CS
• SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors#138942arXiv CS
• Few-Shot Cross-Device Transfer for Quantum Noise Modeling on Real Hardware#138946arXiv CS
• Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance#141490arXiv CS
• EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming#141494arXiv CS
• GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning#141502arXiv CS
• Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds#141507arXiv CS
• An adaptive wavelet-based PINN for problems with localized high-magnitude source#146909arXiv CS
• FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing#146924arXiv CS
• TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering#146925arXiv CS
• Beyond the Baseband: Adaptive Multi-Band Encoding for Full-Spectrum Bioacoustics Classification#146946arXiv CS
• Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning#146954arXiv CS
• SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control#151718arXiv CS
• Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries#151721arXiv CS
• Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring#151722arXiv CS
• FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization#151733arXiv CS
• PEACE: Cross-modal Enhanced Pediatric-Adult ECG Alignment for Robust Pediatric Diagnosis#151741arXiv CS
• Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors#151749arXiv CS
• An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks.#150296NCBI PubMed Central
• Beyond the Reducing Valve: Towards a Computational Neurophenomenology of Altered States via Deep Neural Networks#29849OSF
• Approximate diffusion tractography from FLAIR MRI and anatomical context using recurrent neural networks.#1352NCBI PubMed Central
• Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection.#1437NCBI PubMed Central
• ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification#2599arXiv CS
• Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference#2620arXiv CS
• Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM#5959arXiv CS
• Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification#5977arXiv CS
• The causal relation between off-street parking and electric vehicle adoption in Scotland#5979arXiv CS
• Utilizing and Calibrating Hindsight Process Rewards via Reinforcement with Mutual Information Self-Evaluation#10349arXiv CS
• The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning#10361arXiv CS
• Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification#10370arXiv CS
• Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss#10374arXiv CS