{"total":28,"rows":[{"id":"2105.06868","title":"Priors in Bayesian Deep Learning: A Review","created":"2021-05-14","cited_by_count":101,"area":null},{"id":"2105.03703","title":"Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics","created":"2021-05-08","cited_by_count":57,"area":null},{"id":"2110.01765","title":"Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping","created":"2021-10-05","cited_by_count":52,"area":null},{"id":"2206.12543","title":"A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel","created":"2022-06-25","cited_by_count":30,"area":null},{"id":"2106.03970","title":"Batch Normalization Orthogonalizes Representations in Deep Random Networks","created":"2021-06-07","cited_by_count":29,"area":null},{"id":"2102.08668","title":"Non-asymptotic approximations of neural networks by Gaussian processes","created":"2021-02-17","cited_by_count":19,"area":null},{"id":"2108.02316","title":"Deep Stable neural networks: large-width asymptotics and convergence rates","created":"2021-08-02","cited_by_count":8,"area":null},{"id":"2110.05960","title":"Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations","created":"2021-10-11","cited_by_count":8,"area":null},{"id":"2410.06300","title":"SHAP values via sparse Fourier representation","created":"2024-10-08","cited_by_count":8,"area":null},{"id":"2306.01610","title":"Centered Self-Attention Layers","created":"2023-06-02","cited_by_count":7,"area":null},{"id":"2403.12486","title":"NTK-Guided Few-Shot Class Incremental Learning","created":"2024-03-19","cited_by_count":7,"area":null},{"id":"2309.04522","title":"Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics","created":"2023-09-08","cited_by_count":6,"area":null},{"id":"2202.01944","title":"Learning Representation from Neural Fisher Kernel with Low-rank Approximation","created":"2022-02-04","cited_by_count":5,"area":null},{"id":"2307.01177","title":"Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space","created":"2023-07-03","cited_by_count":5,"area":null},{"id":"2402.06087","title":"Descriptive Kernel Convolution Network with Improved Random Walk Kernel","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2403.01737","title":"Deep Horseshoe Gaussian Processes","created":"2024-03-04","cited_by_count":5,"area":null},{"id":"2206.01332","title":"Optimal Activation Functions for the Random Features Regression Model","created":"2022-05-31","cited_by_count":4,"area":null},{"id":"2101.04097","title":"Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks","created":"2021-01-11","cited_by_count":3,"area":null},{"id":"2208.13259","title":"Bayesian Neural Network Language Modeling for Speech Recognition","created":"2022-08-28","cited_by_count":3,"area":null},{"id":"2406.09310","title":"Neural networks in non-metric spaces","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2407.18707","title":"Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2509.09337","title":"MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts","created":"2025-09-11","cited_by_count":3,"area":null},{"id":"2101.02333","title":"Infinitely Wide Tensor Networks as Gaussian Process","created":"2021-01-07","cited_by_count":2,"area":null},{"id":"2107.00364","title":"Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks","created":"2021-07-01","cited_by_count":2,"area":null},{"id":"2209.12737","title":"A connection between probability, physics and neural networks","created":"2022-09-26","cited_by_count":2,"area":null},{"id":"2103.11558","title":"Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel","created":"2021-03-22","cited_by_count":1,"area":null},{"id":"2102.13337","title":"Neural Generalization of Multiple Kernel Learning","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2301.11414","title":"A Simple Algorithm For Scaling Up Kernel Methods","created":"2023-01-26","cited_by_count":0,"area":null}],"next_cursor":null}