neural-networks

Documents about neural-networks

• Small Vision-Language Models are Smart Compressors for Long Video Understanding#2621arXiv CS
• Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization#2622arXiv CS
• Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.#3869NCBI PubMed Central
• Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism#5943arXiv CS
• Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision#5945arXiv CS
• Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design#5967arXiv CS
• Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications#5978arXiv CS
• ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents#10333arXiv CS
• RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time#10346arXiv CS
• bacpipe: a Python package to make bioacoustic deep learning models accessible#10354arXiv CS
• CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation#10368arXiv CS
• From Attribution to Action: A Human-Centered Application of Activation Steering#10371arXiv CS
• OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension#13095arXiv CS
• Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging#13102arXiv CS
• BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning#13103arXiv CS
• From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation#13104arXiv CS
• TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting#13108arXiv CS
• SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models#13111arXiv CS
• Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA#13114arXiv CS
• Complex Interpolation of Matrices with an application to Multi-Manifold Learning#14005arXiv CS
• Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation#14015arXiv CS
• Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation#14026arXiv CS
• ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection#14030arXiv CS
• MolCryst-MLIPs: A Machine-Learned Interatomic Potentials Database for Molecular Crystals#14033arXiv CS
• Generalization in LLM Problem Solving: The Case of the Shortest Path#18993arXiv CS
• When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence#19013arXiv CS
• IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation#19018arXiv CS
• Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography#19021arXiv CS
• DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models#19025arXiv CS
• Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching#19027arXiv CS
• Multi-User mmWave Beam and Rate Adaptation via Combinatorial Satisficing Bandits#19035arXiv CS
• Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective#19724Semantic Scholar
• Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization#19727Semantic Scholar
• Building a Digital Twin for network optimization using Graph Neural Networks#19734Semantic Scholar
• RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN#19755Semantic Scholar
• Molecular optimization by capturing chemist’s intuition using deep neural networks#19760Semantic Scholar
• Fixed-point optimization of deep neural networks with adaptive step size retraining#19768Semantic Scholar
• Efficient training of physics‐informed neural networks via importance sampling#19787Semantic Scholar
• Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art#19791Semantic Scholar
• Quantization and Deployment of Deep Neural Networks on Microcontrollers#19802Semantic Scholar
• Singing to the newborn brain uncovers early traces of specialized neural networks#30039HAL (France)
• Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model#31272arXiv CS
• Evaluating quality in synthetic data generation for large tabular health datasets#31291arXiv CS
• Leveraging Artificial Neural Networks for Cancer Prediction: A Synthetic Dataset Approach#85024PhilArchive
• Predicting Life Expectancy in Diverse Countries Using Neural Networks: Insights and Implications#91870PhilArchive
• Physics-Informed Neural Networks for Solving Physical Partial Differential Equations in Aerospace Engineering#99137PhilArchive
• AI Epistemology Revisited: From Neural Networks to Thought-Pattern Structures (Experience-Based AI Epistemology)#105656PhilArchive
• Understanding by Analogy? On the Potential Role of Complexity Science in Explaining Deep Neural Networks#107869PhilArchive
• Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk#120506arXiv CS
• Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts#120517arXiv CS