| Deep reconstruction-classification networks for unsupervised domain adaptation M Ghifary, WB Kleijn, M Zhang, D Balduzzi, W Li Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 861 | 2016 |
| Domain generalization via invariant feature representation K Muandet, D Balduzzi, B Schölkopf International conference on machine learning, 10-18, 2013 | 858 | 2013 |
| Uncovering the temporal dynamics of diffusion networks M Gomez-Rodriguez, D Balduzzi, B Schölkopf Twenty-eighth International Conference on Machine Learning, Bellevue, Washington, 2011 | 708* | 2011 |
| Domain generalization for object recognition with multi-task autoencoders M Ghifary, WB Kleijn, M Zhang, D Balduzzi Proceedings of the IEEE international conference on computer vision, 2551-2559, 2015 | 587 | 2015 |
| Integrated information in discrete dynamical systems: motivation and theoretical framework D Balduzzi, G Tononi PLoS computational biology 4 (6), e1000091, 2008 | 431 | 2008 |
| Scatter component analysis: A unified framework for domain adaptation and domain generalization M Ghifary, D Balduzzi, WB Kleijn, M Zhang IEEE transactions on pattern analysis and machine intelligence 39 (7), 1414-1430, 2016 | 374 | 2016 |
| The shattered gradients problem: If resnets are the answer, then what is the question? D Balduzzi, M Frean, L Leary, JP Lewis, KWD Ma, B McWilliams International Conference on Machine Learning, 342-350, 2017 | 345 | 2017 |
| Qualia: The geometry of integrated information D Balduzzi, G Tononi PLoS computational biology 5 (8), e1000462, 2009 | 277 | 2009 |
| The mechanics of n-player differentiable games D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel International Conference on Machine Learning, 354-363, 2018 | 272 | 2018 |
| Quantifying causal influences D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf | 223 | 2013 |
| Uncovering the structure and temporal dynamics of information propagation MG Rodriguez, J Leskovec, D Balduzzi, B Schölkopf Network Science 2 (1), 26-65, 2014 | 155 | 2014 |
| Open-ended learning in symmetric zero-sum games D Balduzzi, M Garnelo, Y Bachrach, W Czarnecki, J Perolat, M Jaderberg, ... International Conference on Machine Learning, 434-443, 2019 | 122 | 2019 |
| Re-evaluating evaluation D Balduzzi, K Tuyls, J Perolat, T Graepel Advances in Neural Information Processing Systems 31, 2018 | 95 | 2018 |
| Stable opponent shaping in differentiable games A Letcher, J Foerster, D Balduzzi, T Rocktäschel, S Whiteson arXiv preprint arXiv:1811.08469, 2018 | 94 | 2018 |
| Logan: Latent optimisation for generative adversarial networks Y Wu, J Donahue, D Balduzzi, K Simonyan, T Lillicrap arXiv preprint arXiv:1912.00953, 2019 | 88 | 2019 |
| Differentiable game mechanics A Letcher, D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, ... The Journal of Machine Learning Research 20 (1), 3032-3071, 2019 | 74 | 2019 |
| Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. T Adel, D Balduzzi, A Ghodsi UAI, 32-41, 2015 | 73 | 2015 |
| A BOLD window into brain waves D Balduzzi, BA Riedner, G Tononi Proceedings of the National Academy of Sciences 105 (41), 15641-15642, 2008 | 73 | 2008 |
| Strongly-typed recurrent neural networks D Balduzzi, M Ghifary International Conference on Machine Learning, 1292-1300, 2016 | 67 | 2016 |
| Real world games look like spinning tops WM Czarnecki, G Gidel, B Tracey, K Tuyls, S Omidshafiei, D Balduzzi, ... Advances in Neural Information Processing Systems 33, 17443-17454, 2020 | 64 | 2020 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürichtuebingen.mpg.de의 이메일 확인됨
