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Jacob D. Moss
Jacob D. Moss
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Neural ode processes
A Norcliffe, C Bodnar, B Day, J Moss, P Li˛
arXiv preprint arXiv:2103.12413, 2021
602021
Gauche: A library for gaussian processes in chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, S Truong, Y Du, S Stanton, ...
Advances in Neural Information Processing Systems 36, 2024
172024
Approximate Latent Force Model Inference
JD Moss, FL Opolka, B Dumitrascu, P Liˇ
arXiv preprint arXiv:2109.11851, 2021
42021
Meta-learning using privileged information for dynamics
B Day, A Norcliffe, J Moss, P Li˛
arXiv preprint arXiv:2104.14290, 2021
42021
Modular Neural Ordinary Differential Equations
M Zhu, P Lio, J Moss
arXiv preprint arXiv:2109.07359, 2021
32021
GAUCHE: A library for Gaussian processes and Bayesian optimisation in chemistry
RR Griffiths, L Klarner, A Ravuri, S Truong, B Rankovic, Y Du, A Jamasb, ...
presented at the ICML 2022 Workshop on Adaptive Experimental Design andá…, 2022
22022
Neural ODE processes: A short summary
ALI Norcliffe, C Bodnar, B Day, J Moss, P Lio
The Symbiosis of Deep Learning and Differential Equations, 2021
12021
Gene regulatory network inference with latent force models
J Moss, P Liˇ
arXiv preprint arXiv:2010.02555, 2020
12020
Meta-Learning Deep Kernels for Latent Force Inference
J Moss, F Opolka, J England, P Liˇ
1st Workshop on the Synergy of Scientific and Machine Learning Modelingá…, 2023
2023
Introduction to Probabilistic Machine Learning
J Moss
2020
Pseudotime Diffusion
JD Moss, JL England, I Petach, P Liˇ
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Articles 1–11