Gaussian Processes

Distributional Deep Gaussian Processes UAI 2026 Exact Uncertainty Propagation via Gaussian Process Neurons UAI 2026 Gaussian Process Limit Reveals Structural Benefits of Graph Transformers UAI 2026 Hierarchical Bayesian Quadrature UAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Learning to Infer Fast by Attending to Sparse Temporal Observations UAI 2026 Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes L4DC 2026 Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification UAI 2026 Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes JMLR 2026 Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields JMLR 2026 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 Adaptive RKHS Fourier Features for Compositional Gaussian Process Models AISTATS 2025 DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing L4DC 2025 Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes Interspeech 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 Identifiability for Gaussian Processes with Holomorphic Kernels ICLR 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 Neural Point Processes for Pixel-wise Regression AISTATS 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data AISTATS 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025