Alexander I. Cowen-Rivers

Cited by

	All	Since 2018
Citations	341	340
h-index	8	8
i10-index	8	8

160

120

2018201920202021202220231 2 8 81 150 93

Public access

View all

2 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Haitham Bou-AmmarReinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCLVerified email at huawei.com
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Rasul TutunovMassachusetts Institute of TechnologyVerified email at mit.edu
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Aivar Sootlaresearch associateVerified email at eng.ox.ac.uk
Vincent MoensFacebookVerified email at huawei.com
Pasquale MinerviniUniversity of Edinburgh, University College London, ELLISVerified email at ed.ac.uk
Tim RocktäschelResearch Scientist at Google DeepMind, Associate Professor at UCLVerified email at cs.ucl.ac.uk
Sebastian RiedelProfessor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Matko BošnjakDeepMindVerified email at deepmind.com
Ying WenAssistant Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Phu SakulwongtanaComputational Statistics and Machine Learning, University College LondonVerified email at ucl.ac.uk
Jason NaradowskyResearcher, Preferred NetworksVerified email at preferred.jp
Ruo Yu TaoBrown UniversityVerified email at brown.edu
Piotr KozakowskiUniversity of WarsawVerified email at mimuw.edu.pl
Aidan GomezCohereVerified email at cohere.ai
Sicong(Sheldon) HuangUniversity of TorontoVerified email at cs.toronto.edu

Alexander I. Cowen-Rivers

DeepMind

Verified email at deepmind.com

AI ML RL DL Bayesian Optimisation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Smarts: An open-source scalable multi-agent rl training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... Conference on Robot Learning, 264-285, 2021	114*	2021
HEBO: pushing the limits of sample-efficient hyper-parameter optimisation AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ... Journal of Artificial Intelligence Research 74, 1269-1349, 2022	80*	2022
High-dimensional Bayesian optimisation with variational autoencoders and deep metric learning A Grosnit, R Tutunov, AM Maraval, RR Griffiths, AI Cowen-Rivers, L Yang, ... arXiv preprint arXiv:2106.03609, 2021	40	2021
Samba: Safe model-based & active reinforcement learning AI Cowen-Rivers, D Palenicek, V Moens, MA Abdullah, A Sootla, J Wang, ... Machine Learning 111 (1), 173-203, 2022	27	2022
Compositional Adam: An adaptive compositional solver AI Cowen-Rivers, R Tutunov, M Li, J Wang, H Bou-Ammar arXiv preprint arXiv:2002.03755, 2020	16*	2020
Sauté rl: Almost surely safe reinforcement learning using state augmentation A Sootla, AI Cowen-Rivers, T Jafferjee, Z Wang, DH Mguni, J Wang, ... International Conference on Machine Learning, 20423-20443, 2022	15	2022
Antbo: Towards real-world automated antibody design with combinatorial bayesian optimisation A Khan, AI Cowen-Rivers, A Grosnit, DGX Deik, PA Robert, V Greiff, ... arXiv preprint arXiv:2201.12570, 2022	13	2022
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? HBA Alexander I. Cowen-Rivers, Antoine Grosnit, Rasul Tutunov, Ryan-Rhys ... JMLR, 2021	12*	2021
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings AI Cowen-Rivers, P Minervini, T Rocktaschel, M Bosnjak, S Riedel, ... IJCAI Workshop on Neural- Symbolic Learning and Reasoning, 2019	6	2019
Toward real-world automated antibody design with combinatorial Bayesian optimization A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ... Cell Reports Methods, 100374, 2023	5	2023
Enhancing safe exploration using safety state augmentation A Sootla, A Cowen-Rivers, J Wang, H Bou Ammar Advances in Neural Information Processing Systems 35, 34464-34477, 2022	4	2022
Towards incremental cylindrical algebraic decomposition in Maple ME Alexander Imani Cowen-Rivers FLoC 2018, 2018	4*	2018
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation M Du, AI Cowen-Rivers, Y Wen, P Sakulwongtana, J Wang, M Brorsson, ... 2019 International Conference on Data Mining Workshops (ICDMW), 973-981, 2019	2*	2019
Emergent Communication with World Models JN Alexander I. Cowen-Rivers NeurIPS Workshop on Emergent Communication, 2019	2*	2019
Structured Q-learning For Antibody Design AI Cowen-Rivers, PJ Gorinski, A Sootla, A Khan, L Furui, J Wang, J Peters, ... arXiv preprint arXiv:2209.04698, 2022	1	2022
Learning Geometric Constraints in Task and Motion Planning T Ren, AI Cowen-Rivers, HB Ammar, J Peters arXiv preprint arXiv:2201.09612, 2022		2022
RL: Generic reinforcement learning codebase in TensorFlow BM Li, A Cowen-Rivers, P Kozakowski, D Tao, SR Kamalakara, ... Journal of Open Source Software 4 (42), 1524, 2019		2019

The system can't perform the operation now. Try again later.

Articles 1–17

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors