| EEG-based speech recognition-impact of temporal effects A Porbadnigk, M Wester, J Calliess, T Schultz International Conference on Bio-Inspired Systems and Signal Processing 1 …, 2009 | 143 | 2009 |
| Learning-based nonlinear model predictive control D Limon, J Calliess, JM Maciejowski IFAC-PapersOnLine 50 (1), 7769-7776, 2017 | 100 | 2017 |
| Robust learning-based MPC for nonlinear constrained systems JM Manzano, D Limon, DM de la Peña, JP Calliess Automatica 117, 108948, 2020 | 84 | 2020 |
| Conservative decision-making and inference in uncertain dynamical systems JP Calliess University of Oxford, 2014 | 79 | 2014 |
| Sentiment correlation in financial news networks and associated market movements X Wan, J Yang, S Marinov, JP Calliess, S Zohren, X Dong Scientific reports 11 (1), 3062, 2021 | 73 | 2021 |
| Lazily adapted constant kinky inference for nonparametric regression and model-reference adaptive control JP Calliess, SJ Roberts, CE Rasmussen, J Maciejowski Automatica 122, 109216, 2020 | 72 | 2020 |
| Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation MAO A. Alvi, B. Ru, J. Calliess, S. Roberts Proc. of the International Conference on Machine Learning (ICML), PMLR 97 …, 2019 | 62* | 2019 |
| Output feedback MPC based on smoothed projected kinky inference JM Manzano, D Limon, D Muñoz de la Peña, JP Calliess IET Control Theory & Applications 13 (6), 795-805, 2019 | 47 | 2019 |
| Lipschitz optimisation for Lipschitz interpolation JP Calliess 2017 American Control Conference (ACC), 3141-3146, 2017 | 47 | 2017 |
| Chance constrained model predictive control for multi-agent systems with coupling constraints D Lyons, JP Calliess, UD Hanebeck 2012 American control conference (ACC), 1223-1230, 2012 | 35* | 2012 |
| Machine learning-based financial statement analysis A Amel-Zadeh, JP Calliess, D Kaiser, S Roberts Available at SSRN 3520684, 2020 | 32 | 2020 |
| Further investigations on unspoken speech JP Calliess, T Schultz Studienarbeit, Universitat Karlsruhe (TH), Karlsruhe, Germany, 2006 | 18 | 2006 |
| Robust data-based model predictive control for nonlinear constrained systems JM Manzano, D Limon, DM de la Peñ, J Calliess IFAC-PapersOnLine 51 (20), 505-510, 2018 | 17 | 2018 |
| Componentwise hölder inference for robust learning-based MPC JM Manzano, DM de la Pena, JP Calliess, D Limon IEEE transactions on automatic control 66 (11), 5577-5583, 2021 | 16 | 2021 |
| Localised kinky inference A Blaas, JM Manzano, D Limon, J Calliess 2019 18th European Control Conference (ECC), 985-992, 2019 | 15 | 2019 |
| Lazy auctions for multi-robot collision avoidance and motion control under uncertainty JP Calliess, D Lyons, UD Hanebeck Advanced Agent Technology: AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM 3 …, 2012 | 15 | 2012 |
| Safety guarantees for planning based on iterative Gaussian processes K Polymenakos, L Laurenti, A Patane, JP Calliess, L Cardelli, ... arXiv preprint arXiv:1912.00071, 2019 | 14 | 2019 |
| On the computational benefit of tensor separation for high-dimensional discrete convolutions JP Calliess, M Mai, S Pfeiffer Multidimensional Systems and Signal Processing 23, 255-279, 2012 | 14* | 2012 |
| No-regret learning and a mechanism for distributed multiagent planning. JP Calliess, GJ Gordon AAMAS (1), 509-516, 2008 | 14 | 2008 |
| Bayesian topic regression for causal inference M Ahrens, J Ashwin, JP Calliess, V Nguyen arXiv preprint arXiv:2109.05317, 2021 | 10 | 2021 |
