{"total":25,"rows":[{"id":"2207.04179","title":"Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling","created":"2022-07-09","cited_by_count":127,"area":null},{"id":"2201.11969","title":"Approximately Equivariant Networks for Imperfectly Symmetric Dynamics","created":"2022-01-28","cited_by_count":97,"area":null},{"id":"2212.12474","title":"Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers","created":"2022-12-23","cited_by_count":41,"area":null},{"id":"2211.08458","title":"Latent Bottlenecked Attentive Neural Processes","created":"2022-11-15","cited_by_count":26,"area":null},{"id":"2203.08775","title":"Practical Conditional Neural Processes Via Tractable Dependent Predictions","created":"2022-03-16","cited_by_count":25,"area":null},{"id":"2209.00517","title":"The Neural Process Family: Survey, Applications and Perspectives","created":"2022-09-01","cited_by_count":23,"area":null},{"id":"2310.02299","title":"Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution","created":"2023-10-03","cited_by_count":20,"area":null},{"id":"2304.08183","title":"Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion","created":"2023-04-17","cited_by_count":19,"area":null},{"id":"2211.08568","title":"Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs","created":"2022-11-15","cited_by_count":13,"area":null},{"id":"2306.10915","title":"Practical Equivariances via Relational Conditional Neural Processes","created":"2023-06-19","cited_by_count":13,"area":null},{"id":"2406.12409","title":"Translation Equivariant Transformer Neural Processes","created":"2024-06-18","cited_by_count":13,"area":null},{"id":"2203.03978","title":"Contrastive Conditional Neural Processes","created":"2022-03-08","cited_by_count":11,"area":null},{"id":"2304.01518","title":"Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation","created":"2023-04-04","cited_by_count":11,"area":null},{"id":"2305.14567","title":"Memory Efficient Neural Processes via Constant Memory Attention Block","created":"2023-05-23","cited_by_count":9,"area":null},{"id":"2406.13488","title":"Approximately Equivariant Neural Processes","created":"2024-06-19","cited_by_count":8,"area":null},{"id":"2305.14286","title":"Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics","created":"2023-05-23","cited_by_count":6,"area":null},{"id":"2404.13182","title":"Spectral Convolutional Conditional Neural Processes","created":"2024-04-19","cited_by_count":4,"area":null},{"id":"2305.18777","title":"Adaptive Conditional Quantile Neural Processes","created":"2023-05-30","cited_by_count":3,"area":null},{"id":"2210.12363","title":"Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2402.18260","title":"Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2303.13004","title":"Adversarially Contrastive Estimation of Conditional Neural Processes","created":"2023-03-23","cited_by_count":1,"area":null},{"id":"2403.09215","title":"On the Laplace Approximation as Model Selection Criterion for Gaussian Processes","created":"2024-03-14","cited_by_count":0,"area":null},{"id":"2605.05912","title":"From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.01172","title":"Revisiting Neural Processes via Fourier Transform and Volterra Series","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2609.21085","title":"Triply-Scalable Equivariant Gaussian Process Modeling","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}