neural-networks

Documents about neural-networks

• The Sample Complexity of Multicalibration#126496arXiv CS
• Mixed Membership sub-Gaussian Models#134541arXiv CS
• Prior-Agnostic Robust Forecast Aggregation#138936arXiv CS
• Kwai Summary Attention Technical Report#138943arXiv CS
• Certified geometric robustness -- Super-DeepG#138948arXiv CS
• Dictionary learning for Kernel EDMD#141489arXiv CS
• Verification of Neural Networks (Lecture Notes)#141531arXiv CS
• Computing Equilibrium beyond Unilateral Deviation#146906arXiv CS
• Randomized Subspace Nesterov Accelerated Gradient#151726arXiv CS
• Spiking Sequence Machines and Transformers#151737arXiv CS
• Budget Constraints as Riemannian Manifolds#151740arXiv CS
• Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks#120510arXiv CS
• Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction#28672PLOS
• Deep learning in neural networks: An overview#6396OpenAlex
• Convolutional Neural Networks for Sentence Classification#6459OpenAlex
• Overcoming catastrophic forgetting in neural networks#7398OpenAlex
• SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving#10347arXiv CS
• GlobalCY I: A JAX Framework for Globally Defined and Symmetry-Aware Neural Kähler Potentials#10377arXiv CS
• Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL#5947arXiv CS
• Synthetic Data for any Differentiable Target#2595arXiv CS
• DMax: Aggressive Parallel Decoding for dLLMs#2609arXiv CS
• Long-Term Embeddings for Balanced Personalization#2616arXiv CS
• Multimodal Latent Reasoning via Predictive Embeddings#2626arXiv CS
• Stability Enhanced Gaussian Process Variational Autoencoders#5972arXiv CS
• ADD for Multi-Bit Image Watermarking#10367arXiv CS
• Agentic Control in Variational Language Models#13116arXiv CS
• Diffusion Language Models for Speech Recognition#14019arXiv CS
• Sandpile Economics: Theory, Identification, and Evidence#14034arXiv CS
• Prism: Symbolic Superoptimization of Tensor Programs#18998arXiv CS
• Stability and Generalization in Looped Transformers#19001arXiv CS
• AdaSplash-2: Faster Differentiable Sparse Attention#19009arXiv CS
• Amortized Optimal Transport from Sliced Potentials#19017arXiv CS
• Improving Sparse Autoencoder with Dynamic Attention#19033arXiv CS
• Survey of Optimization Algorithms in Modern Neural Networks#19716Semantic Scholar
• Multi-Material Topology Optimization Using Neural Networks#19738Semantic Scholar
• How Powerful are Spectral Graph Neural Networks#19766Semantic Scholar
• Guava Disease Detection using Convolutional Neural Networks#82265PhilArchive
• The Three Paths of Constructivism: Jung, Chomsky, and Neural Networks#119782PhilArchive
• Duality for the Adversarial Total Variation#120507arXiv CS
• Spectral bandits for smooth graph functions#120528arXiv CS
• Learning to Pre-train Graph Neural Networks#120633Semantic Scholar
• A weighted angle distance on strings#124061arXiv CS
• Fairness under uncertainty in sequential decisions#126517arXiv CS
• Associativity-Peakiness Metric for Contingency Tables#134538arXiv CS
• Learning to Think from Multiple Thinkers#138909arXiv CS
• Do Sparse Autoencoders Capture Concept Manifolds?#146920arXiv CS
• Decentralized Proximal Stochastic Gradient Langevin Dynamics#151730arXiv CS
• Adaptive Querying with AI Persona Priors#151734arXiv CS
• Unlearning Offline Stochastic Multi-Armed Bandits#151746arXiv CS
• 3D CAD Models Reconstruction from 2D Drawings: A Survey and Future Challenges#7909HAL (France)