SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data

10 May 2021

Edwin V. Bonilla

Theodoros Damoulas

Papers citing "SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data"

6 / 6 papers shown

Title
Theoretical Foundations of Deep Selective State-Space Models Nicola Muca Cirone Antonio Orvieto Benjamin Walker C. Salvi Terry Lyons Mamba 66 26 0 29 Feb 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 51 8 0 28 Feb 2024
Non-adversarial training of Neural SDEs with signature kernel scores Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 48 24 0 25 May 2023
Free-Form Variational Inference for Gaussian Process State-Space Models Xuhui Fan Edwin V. Bonilla T. O’Kane Scott A. Sisson 16 9 0 20 Feb 2023
New directions in the applications of rough path theory Adeline Fermanian Terry Lyons James Morrill C. Salvi 18 14 0 09 Feb 2023
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 31 61 0 27 May 2021