neural-networks

Documents about neural-networks

• Persistence-Augmented Neural Networks#2588arXiv CS
• Storm Surge Modeling, Bias Correction, Graph Neural Networks, Graph Convolution Networks#124056arXiv CS
• Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories#124039arXiv CS
• On Halting vs Converging in Recurrent Graph Neural Networks#141491arXiv CS
• Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures#10345arXiv CS
• Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks#19023arXiv CS
• Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks#13084arXiv CS
• A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning#19003arXiv CS
• Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks#138926arXiv CS
• Physical Foundation Models: Fixed hardware implementations of large-scale neural networks#146948arXiv CS
• Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks#151724arXiv CS
• ImageNet classification with deep convolutional neural networks#6257OpenAlex
• Exact Certification of Neural Networks and Partition Aggregation Ensembles against Label Poisoning#10375arXiv CS
• Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport#14042arXiv CS
• How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations#18997arXiv CS
• Physics-Informed Neural Networks: A Didactic Derivation of the Complete Training Cycle#120515arXiv CS
• Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs#138952arXiv CS
• Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems#120504arXiv CS
• Weisfeiler Lehman Test on Combinatorial Complexes: Generalized Expressive Power of Topological Neural Networks#151729arXiv CS
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications#6519OpenAlex
• Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification#5966arXiv CS
• Introducing Echo Networks for Computational Neuroevolution#2612arXiv CS
• ANTIC: Adaptive Neural Temporal In-situ Compressor#5944arXiv CS
• Modern Structure-Aware Simplicial Spatiotemporal Neural Network#31299arXiv CS
• Revisiting Neural Activation Coverage for Uncertainty Estimation#134572arXiv CS
• Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks#5962arXiv CS
• A privacy preserving intrusion detection framework for IIoT in 6G networks using homomorphic encryption and graph neural networks#20525DOAJ
• Neural architectures for resolving references in program code#14010arXiv CS
• Relaxation-Informed Training of Neural Network Surrogate Models#134530arXiv CS
• Track Finding in the LHCb Vertex Locator using Graph Neural Networks#124339HAL (France)
• Natural Riemannian gradient for learning functional tensor networks#5980arXiv CS
• A Complete Symmetry Classification of Shallow ReLU Networks#14013arXiv CS
• Pre-Determinant Cognition in Neural Networks#80913PhilArchive
• Artificial Neural Networks without Layering Concept#106783PhilArchive
• Extreme bandits#138933arXiv CS
• Spectral bandits#141508arXiv CS
• Attractor FCM#146944arXiv CS
• An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling#124066arXiv CS
• Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation#2602arXiv CS
• Structure as Computation: Developmental Generation of Minimal Neural Circuits#19016arXiv CS
• Improving neural networks by preventing co-adaptation of feature detectors#7161OpenAlex
• Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus#120532arXiv CS
• Complexity of Linear Regions in Self-supervised Deep ReLU Networks#138947arXiv CS
• Thermodynamics-Informed Graph Neural Networks#8164HAL (France)
• Explaining Neural Networks with Reasons#72778PhilArchive
• Conformalized Super Learner#134569arXiv CS
• Pliable rejection sampling#134571arXiv CS
• Hierarchical Behaviour Spaces#138928arXiv CS
• Cost-Aware Learning#146934arXiv CS
• Heterogeneous Sheaf Neural Networks#149183arXiv (OAI)