neural-networks

Documents about neural-networks

• Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation#120519arXiv CS
• Using large language models for embodied planning introduces systematic safety risks#120522arXiv CS
• Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics#120538arXiv CS
• LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image#124038arXiv CS
• Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees#124074arXiv CS
• Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability#126494arXiv CS
• Probably Approximately Consensus: On the Learning Theory of Finding Common Ground#126507arXiv CS
• Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection#126518arXiv CS
• A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking#126522arXiv CS
• Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions#126523arXiv CS
• Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation#126527arXiv CS
• Generalized Dynamical Keldysh Model#131207arXiv (OAI)
• Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis#134534arXiv CS
• Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?#134549arXiv CS
• Different Strokes for Different Folks: Writer Identification for Historical Arabic Manuscripts#134554arXiv CS
• Deep Learning for Model Calibration in Simulation of Itaconic Acid Production#134556arXiv CS
• HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models#134562arXiv CS
• Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control#134565arXiv CS
• Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models#134566arXiv CS
• Pack only the essentials: Adaptive dictionary learning for kernel ridge regression#134570arXiv CS
• Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling#138911arXiv CS
• Diffusion-Guided Feature Selection via Nishimori Temperature: Noise-Based Spectral Embedding#138915arXiv CS
• The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications#138918arXiv CS
• Efficient learning by implicit exploration in bandit problems with side observations#138929arXiv CS
• GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility#138931arXiv CS
• Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models#141468arXiv CS
• TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning#141470arXiv CS
• Barriers to Universal Reasoning With Transformers (And How to Overcome Them)#141477arXiv CS
• Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile#141481arXiv CS
• Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy#141492arXiv CS
• Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Space Models#141499arXiv CS
• Mapping the Phase Diagram of the Vicsek Model with Machine Learning#146913arXiv CS
• Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces#146919arXiv CS
• Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression#146922arXiv CS
• D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery#146941arXiv CS
• Differentiable latent structure discovery for interpretable forecasting in clinical time series#146942arXiv CS
• Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values#151720arXiv CS
• NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search#151723arXiv CS
• Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning#151736arXiv CS
• BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis#151748arXiv CS
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling#6500OpenAlex
• SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions#2586arXiv CS
• A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation#2590arXiv CS
• Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers#2605arXiv CS
• Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?#2623arXiv CS
• SatQNet: Satellite-assisted Quantum Network Entanglement Routing Using Directed Line Graph Neural Networks#5922arXiv CS
• MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs#5935arXiv CS
• RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval#5950arXiv CS
• ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion#5954arXiv CS
• Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories#5957arXiv CS