Moss, Henry

14 publications

ICML 2025 Integration-Free Kernels for Equivariant Gaussian Process Modelling Tim Steinert, David Ginsbourger, August Lykke-Møller, Ove Christiansen, Henry Moss

ICLR 2025 Linear Combinations of Latents in Generative Models: Subspaces and Beyond Erik Bodin, Alexandru I. Stere, Dragos D Margineantu, Carl Henrik Ek, Henry Moss

NeurIPS 2025 Omnipresent yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry Moss

ICML 2025 Return of the Latent Space COWBOYS: Re-Thinking the Use of VAEs for Bayesian Optimisation of Structured Spaces Henry Moss, Sebastian W. Ober, Tom Diethe

NeurIPSW 2024 BALLAST: Bayesian Active Learning with Look-Ahead Amendment for Sea-Drifter Trajectories Rui-Yang Zhang, Henry Moss, Lachlan Astfalck, Edward Cripps, David S. Leslie

NeurIPSW 2024 Big Batch Bayesian Active Learning by Considering Predictive Probabilities Sebastian W. Ober, Samuel Power, Tom Diethe, Henry Moss

NeurIPSW 2024 Integration-Free Kernels for Equivariant Gaussian Fields with Application in Dipole Moment Prediction Tim Steinert, David Ginsbourger, August Smart Lykke-Møller, Ove Christiansen, Henry Moss

ICMLW 2024 MONGOOSE: Path-Wise Smooth Bayesian Optimisation via Meta-Learning Adam X. Yang, Laurence Aitchison, Henry Moss

NeurIPSW 2024 Trieste: Efficiently Exploring the Depths of Black-Box Functions with TensorFlow Henry Moss, Victor Picheny, Hrvoje Stojic, Sebastian W. Ober, Artem Artemev, Andrei Paleyes, Sattar Vakili, Stratis Markou, Jixiang Qing, Nasrulloh Ratu Bagus Satrio Loka, Ivo Couckuyt

NeurIPS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang

UAI 2022 Bayesian Quantile and Expectile Optimisation Victor Picheny, Henry Moss, Léonard Torossian, Nicolas Durrande

ICMLW 2022 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang T. Truong, Bojana Rankovic, Yuanqi Du, Arian Rokkum Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha Lee, Philippe Schwaller, Jian Tang

NeurIPS 2021 Scalable Thompson Sampling Using Sparse Gaussian Process Models Sattar Vakili, Henry Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

NeurIPS 2020 BOSS: Bayesian Optimization over String Spaces Henry Moss, David Leslie, Daniel Beck, Javier González, Paul Rayson