Joel Jennings
Joel Jennings
Microsoft Research
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Cited by
Cited by
Decentralised learning in systems with many, many strategic agents
D Mguni, J Jennings, EM de Cote
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Learning in nonzero-sum stochastic games with potentials
DH Mguni, Y Wu, Y Du, Y Yang, Z Wang, M Li, Y Wen, J Jennings, J Wang
International Conference on Machine Learning, 7688-7699, 2021
Tumour heterogeneity promotes collective invasion and cancer metastatic dissemination
A Hallou, J Jennings, AJ Kabla
Royal Society Open Science 4 (8), 161007, 2017
Coordinating the crowd: Inducing desirable equilibria in non-cooperative systems
D Mguni, J Jennings, SV Macua, E Sison, S Ceppi, EM De Cote
arXiv preprint arXiv:1901.10923, 2019
Machine learning system
A Tukiainen, D Kim, T Nicholson, M Tomczak, JEMDEC FLORES, ...
US Patent App. 16/753,580, 2020
Understanding causality with large language models: Feasibility and opportunities
C Zhang, S Bauer, P Bennett, J Gao, W Gong, A Hilmkil, J Jennings, C Ma, ...
arXiv preprint arXiv:2304.05524, 2023
Rhino: Deep causal temporal relationship learning with history-dependent noise
W Gong, J Jennings, C Zhang, N Pawlowski
arXiv preprint arXiv:2210.14706, 2022
A new computational model for multi-cellular biological systems
JN Jennings
University of Cambridge, 2014
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
M Ashman, C Ma, A Hilmkil, J Jennings, C Zhang
arXiv preprint arXiv:2303.12703, 2023
A Causal AI Suite for Decision-Making
E Kiciman, EW Dillon, D Edge, A Foster, A Hilmkil, J Jennings, C Ma, ...
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
DESTA: A framework for safe reinforcement learning with markov games of intervention
D Mguni, U Islam, Y Sun, X Zhang, J Jennings, A Sootla, C Yu, Z Wang, ...
arXiv preprint arXiv:2110.14468, 2021
Cancer Metastasis: collective invasion in heterogeneous multicellular systems
A Hallou, J Jennings, A Kabla
arXiv preprint arXiv:1501.00065, 2014
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Y Annadani, N Pawlowski, J Jennings, S Bauer, C Zhang, W Gong
arXiv preprint arXiv:2307.13917, 2023
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation
DR Ivanova, J Jennings, C Zhang, A Foster
arXiv preprint arXiv:2207.05250, 2022
Answering causal questions with augmented llms
N Pawlowski, J Vaughan, J Jennings, C Zhang
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
DR Ivanova, J Jennings, T Rainforth, C Zhang, A Foster
arXiv preprint arXiv:2302.14015, 2023
Using neural biomarkers to personalize dosing of vagus nerve stimulation
A Berthon, L Wernisch, M Stoukidi, M Thornton, O Tessier-Lariviere, ...
bioRxiv, 2023.08. 30.555487, 2023
Instructions and guide: Causal insights for learning paths in education
W Gong, D Smith, Z Wang, C Barton, S Woodhead, N Pawlowski, ...
arXiv preprint arXiv:2208.12610, 2022
Tissue dynamics of the forebrain neural plate
S Young, JN Jennings, GB Blanchard, AJ Kabla, RJ Adams
bioRxiv, 016303, 2015
Neural Structure Learning with Stochastic Differential Equations
B Wang, J Jennings, W Gong
arXiv preprint arXiv:2311.03309, 2023
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