conftrace_

signature kernel

10 papers

Explore in graph

Co-occurring keywords · papers mentioning both

sequential data (4) gaussian process (4) variational inference (3) kernel methods (2) stochastic differential equation (2) generative model (2) stochastic process (2) sparse approximation (2) time series (2) scoring rule (1)

Papers

Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes ICLR 2025 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023 Non-adversarial training of Neural SDEs with signature kernel scores NeurIPS 2023 Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022 Distribution Regression for Sequential Data AISTATS 2021 SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020