| Active inference in robotics and artificial agents: Survey and challenges P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... arXiv preprint arXiv:2112.01871, 2021 | 80 | 2021 |
| Active inference for integrated state-estimation, control, and learning M Baioumy, P Duckworth, B Lacerda, N Hawes 2021 IEEE International Conference on Robotics and Automation (ICRA), 4665-4671, 2021 | 19 | 2021 |
| Active inference for fault tolerant control of robot manipulators with sensory faults C Pezzato, M Baioumy, CH Corbato, N Hawes, M Wisse, R Ferrari Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 14 | 2020 |
| Towards stochastic fault-tolerant control using precision learning and active inference M Baioumy, C Pezzato, CH Corbato, N Hawes, R Ferrari Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 9 | 2021 |
| Fault-tolerant control of robot manipulators with sensory faults using unbiased active inference M Baioumy, C Pezzato, R Ferrari, CH Corbato, N Hawes 2021 European Control Conference (ECC), 1119-1125, 2021 | 9 | 2021 |
| Active Inference in Robotics and Artificial Agents: Survey and Challenges. arXiv 2021 P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... arXiv preprint arXiv:2112.01871, 2021 | 8 | 2021 |
| Variational Inference for Predictive and Reactive Controllers M Baioumy, M Mattamala, N Hawes | 8 | 2020 |
| Adaptive manipulator control using active inference with precision learning M Baioumy, M Mattamala, P Duckworth, B Lacerda, N Hawes UKRAS20 Conference:” Robots into the real world” Proceedings, Lincoln …, 2020 | 6 | 2020 |
| Active Inference in Robotics and Artificial Agents: Survey and Challenges (arXiv: 2112.01871). arXiv P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... | 5 | 2021 |
| Active inference for Robot control: A Factor Graph Approach M Vanderbroeck, M Baioumy, D van der Lans, R de Rooij, T van der Werf Student Undergraduate Research E-journal! 5, 2019 | 5 | 2019 |
| Market Making in NFTs K Lommers, J Kim, M Baioumy Available at SSRN 4226987, 2022 | 4 | 2022 |
| On solving a stochastic shortest-path Markov decision process as probabilistic inference M Baioumy, B Lacerda, P Duckworth, N Hawes Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 3 | 2021 |
| Complex depth imaging using Reverse Time Migration for an integrated high-density point-source and receiver survey onshore UAE–a case study E Zubay, C Cunnell, A Zarkhidze, M Baioumy, LV Herrera, A Al Qadi SEG International Exposition and Annual Meeting, SEG-2013-0866, 2013 | 3 | 2013 |
| Market Making in NFTs J Kim, K Lommers, M Baioumy | 1 | 2022 |
| Unbiased Active Inference for Classical Control M Baioumy, C Pezzato, R Ferrari, N Hawes 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| Analyzing the Economics of Rarity in Collection Items-The Case of NFTs K Lommers, M Baioumy Available at SSRN 4639257, 2023 | | 2023 |
| Portfolio Optimization for Heterogeneous Assets: The Case for NFTs K Lommers, J Kim, M Baioumy Available at SSRN 4639259, 2023 | | 2023 |
| Price Simulations in Long-Tail Crypto Assets-The Case of NFTs K Lommers, M Baioumy Available at SSRN 4639322, 2023 | | 2023 |
| Modelling NFT Price Dynamics K Lommers, J Kim, M Baioumy Available at SSRN 4627774, 2023 | | 2023 |
| Monte Carlo Tree Search with Boltzmann Exploration M Painter, M Baioumy, N Hawes, B Lacerda Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
Nick HawesOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk
