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Poster
Wed 11:00 Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck · Arno Solin · Theodoros Damoulas
Workshop
Failure Prediction from Few Expert Demonstrations
Anjali Parashar · Kunal Garg · Joseph Zhang · Chuchu Fan
Poster
Fri 16:30 Idiographic Personality Gaussian Process for Psychological Assessment
Yehu Chen · Muchen Xi · Joshua Jackson · Jacob Montgomery · Roman Garnett
Workshop
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain · So Takao · Bastian Rieck · Xiaowen Dong · Emmanuel Noutahi
Workshop
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories
Rui-Yang Zhang · Henry Moss · Lachlan Astfalck · Edward Cripps · David Leslie
Poster
Wed 16:30 Splatter a Video: Video Gaussian Representation for Versatile Processing
Yang-Tian Sun · Yihua Huang · Lin Ma · Xiaoyang Lyu · Yan-Pei Cao · Xiaojuan Qi
Workshop
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
Jihao Andreas Lin · Sebastian Ament · Maximilian Balandat · Eytan Bakshy
Workshop
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
Sam A. Scivier · Tarje Nissen-Meyer · Paula Koelemeijer · Atilim Gunes Baydin
Workshop
Stochastic Gradient MCMC for Gaussian Process Inference on Massive Geostatistical Data
Mohamed Abba · Brian Reich · Reetam Majumder · Brandon Feng
Poster
Fri 11:00 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
Jiewen Yang · Yiqun Lin · Bin Pu · Xiaomeng Li
Poster
Fri 16:30 Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
Alexander Terenin · David Burt · Artem Artemev · Seth Flaxman · Mark van der Wilk · Carl Edward Rasmussen · Hong Ge
Workshop
Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti