Williams, Christopher

13 publications

TMLR 2024 Approximations to the Fisher Information Metric of Deep Generative Models for Out-of-Distribution Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

NeurIPS 2024 Score-Optimal Diffusion Schedules Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed

ICLRW 2023 On Gradients of Deep Generative Models for Representation-Invariant Anomaly Detection Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

NeurIPS 2012 A Generative Model for Parts-Based Object Segmentation S. Eslami, Christopher Williams

AISTATS 2012 Multiple Texture Boltzmann Machines Jyri Kivinen, Christopher Williams

NeurIPS 2008 Multi-Task Gaussian Process Learning of Robot Inverse Dynamics Christopher Williams, Stefan Klanke, Sethu Vijayakumar, Kian M. Chai

NeurIPS 2007 Multi-Task Gaussian Process Prediction Edwin V. Bonilla, Kian M. Chai, Christopher Williams

NeurIPS 2005 Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care Christopher Williams, John Quinn, Neil Mcintosh

NeurIPS 2004 Harmonising Chorales by Probabilistic Inference Moray Allan, Christopher Williams

NeurIPS 2004 Using the Equivalent Kernel to Understand Gaussian Process Regression Peter Sollich, Christopher Williams

NeurIPS 2003 Extreme Components Analysis Max Welling, Christopher Williams, Felix V. Agakov

NeurIPS 2002 The Stability of Kernel Principal Components Analysis and Its Relation to the Process Eigenspectrum Christopher Williams, John S. Shawe-taylor

NeurIPS 2001 Products of Gaussians Christopher Williams, Felix V. Agakov, Stephen N. Felderhof