neural-networks

Documents about neural-networks

• Computational Performance of Physics-Informed Neural Networks Versus the Rothermel Model in Wind-Topography-Fuel Interaction-Based Wildfire Spread Prediction#13339DataCite
• Computational Performance of Physics-Informed Neural Networks Versus the Rothermel Model in Wind-Topography-Fuel Interaction-Based Wildfire Spread Prediction#13340DataCite
• Neural network reveals platelet age from fluorescence microscopy images.#29699PubMed
• Envisioning the Future, One Step at a Time#5946arXiv CS
• Meta-Learned Basis Adaptation for Parametric Linear PDEs#5976arXiv CS
• A Predictive View on Streaming Hidden Markov Models#5985arXiv CS
• QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits#10271arXiv CS
• A Mechanistic Analysis of Looped Reasoning Language Models#10332arXiv CS
• LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling#10336arXiv CS
• Layerwise Dynamics for In-Context Classification in Transformers#10348arXiv CS
• A Triadic Suffix Tokenization Scheme for Numerical Reasoning#10351arXiv CS
• TempusBench: An Evaluation Framework for Time-Series Forecasting#10357arXiv CS
• Generative Path-Finding Method for Wasserstein Gradient Flow#10359arXiv CS
• Quantization Dominates Rank Reduction for KV-Cache Compression#10365arXiv CS
• Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations#13080arXiv CS
• An Optimal Sauer Lemma Over $k$-ary Alphabets#13081arXiv CS
• Parcae: Scaling Laws For Stable Looped Language Models#13083arXiv CS
• VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization#13089arXiv CS
• Stress Detection Using Wearable Physiological and Sociometric Sensors#13098arXiv CS
• Transformer Based Machine Fault Detection From Audio Input#13099arXiv CS
• KumoRFM-2: Scaling Foundation Models for Relational Learning#13112arXiv CS
• LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning#14002arXiv CS
• Stochastic Trust-Region Methods for Over-parameterized Models#14016arXiv CS
• MAny: Merge Anything for Multimodal Continual Instruction Tuning#14017arXiv CS
• HINTBench: Horizon-agent Intrinsic Non-attack Trajectory Benchmark#14027arXiv CS
• Backpropagation in Neural Networks and Its Alignment with Universal Laws of Systems#17602PhilArchive
• Benchmarking Optimizers for MLPs in Tabular Deep Learning#18995arXiv CS
• Artificial Neural Networks Based Optimization Techniques: A Review#19714Semantic Scholar
• Combinatorial optimization and reasoning with graph neural networks#19719Semantic Scholar
• Meta-Learning in Neural Networks: A Survey#19735Semantic Scholar
• Prediction-Based Portfolio Optimization Models Using Deep Neural Networks#19748Semantic Scholar
• A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration#19790Semantic Scholar
• Learning Single-Index Models with Shallow Neural Networks#19794Semantic Scholar
• Bayesian learning for neural networks: an algorithmic survey#19796Semantic Scholar
• Physics-Informed Neural Networks for Quantum Eigenvalue Problems#19800Semantic Scholar
• Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks#19808Semantic Scholar
• A Survey on Evolutionary Construction of Deep Neural Networks#19809Semantic Scholar
• Geometric regularization of autoencoders via observed stochastic dynamics#31252arXiv CS
• Beyond Distribution Sharpening: The Importance of Task Rewards#31257arXiv CS
• Detecting and Suppressing Reward Hacking with Gradient Fingerprints#31259arXiv CS
• Adaptive multi-fidelity optimization with fast learning rates#31260arXiv CS
• Neuro-Symbolic ODE Discovery with Latent Grammar Flow#31262arXiv CS
• AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency#31267arXiv CS
• Sentiment Analysis of German Sign Language Fairy Tales#31268arXiv CS
• Univariate Channel Fusion for Multivariate Time Series Classification#31270arXiv CS
• Prototype-Grounded Concept Models for Verifiable Concept Alignment#31277arXiv CS
• Where does output diversity collapse in post-training?#31285arXiv CS
• QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals#31297arXiv CS
• Reversible Residual Normalization Alleviates Spatio-Temporal Distribution Shift#31298arXiv CS
• The Architecture Behind Generative AI: A Look into Neural Networks#103377PhilArchive