Moss, Jacob

8 publications

ICLRW 2024 AI-Accelerated Biocatalyst Engineering by Rapid Microfluidic Sequence-Function Mapping Maximilian Gantz, Simon V Mathis, Friederike E. H. Nintzel, Paul J. Zurek, Tanja Knaus, Elie S. Patel, Daniel Boros, Friedrich-Maximilian Weberling, Elliot Medcalf, Jacob Moss, Michael Herger, Tomasz S. Kaminski, Francesco G. Mutti, Pietro Lio, Florian Hollfelder

TMLR 2024 Deep Kernel Learning of Nonlinear Latent Force Models Jacob Moss, Jeremy England, Pietro Lio

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

ICMLW 2023 Meta-Learning Deep Kernels for Latent Force Inference Jacob Moss, Felix Opolka, Jeremy England, Pietro Lio

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

ICLRW 2021 Meta-Learning Using Privileged Information for Dynamics Ben Day, Alexander Luke Ian Norcliffe, Jacob Moss, Pietro Liò

ICLR 2021 Neural ODE Processes Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò

NeurIPSW 2021 Neural ODE Processes: A Short Summary Alexander Luke Ian Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Lio