neural process

APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 Neural Mixture Density Processes CVPR 2026 NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation AAAI 2026 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference AISTATS 2025 Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025 Dimension Agnostic Neural Processes ICLR 2025 KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting ICLR 2025 PABBO: Preferential Amortized Black-Box Optimization ICLR 2025 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 Towards Automated Knowledge Integration From Human-Interpretable Representations ICLR 2025 Approximately Equivariant Neural Processes NeurIPS 2024 Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 Neural processes with event triggers for fast adaptation to changes L4DC 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 Adaptive Conditional Quantile Neural Processes UAI 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 Bridge the Inference Gaps of Neural Processes via Expectation Maximization ICLR 2023 Compositional Law Parsing with Latent Random Functions ICLR 2023 Deep Stochastic Processes via Functional Markov Transition Operators NeurIPS 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NeurIPS 2023 Episodic Multi-Task Learning with Heterogeneous Neural Processes NeurIPS 2023 Exploiting Inferential Structure in Neural Processes UAI 2023