| Wheel defect detection with machine learning G Krummenacher, CS Ong, S Koller, S Kobayashi, JM Buhmann IEEE Transactions on Intelligent Transportation Systems 19 (4), 1176-1187, 2017 | 203 | 2017 |
| Comparison of hepatic resection and radiofrequency ablation for small hepatocellular carcinoma: a meta-analysis of 16,103 patients Q Xu, S Kobayashi, X Ye, X Meng Scientific reports 4 (1), 7252, 2014 | 129 | 2014 |
| Posterior meta-replay for continual learning C Henning, M Cervera, F D'Angelo, J Von Oswald, R Traber, B Ehret, ... Advances in Neural Information Processing Systems 34, 14135-14149, 2021 | 34 | 2021 |
| Learning where to learn: Gradient sparsity in meta and continual learning J Von Oswald, D Zhao, S Kobayashi, S Schug, M Caccia, N Zucchet, ... Advances in Neural Information Processing Systems 34, 5250-5263, 2021 | 33 | 2021 |
| Meta-learning via hypernetworks D Zhao, S Kobayashi, J Sacramento, J von Oswald IEEE, 2020 | 32 | 2020 |
| Neural networks with late-phase weights J Von Oswald, S Kobayashi, A Meulemans, C Henning, BF Grewe, ... arXiv preprint arXiv:2007.12927, 2020 | 20 | 2020 |
| The least-control principle for local learning at equilibrium A Meulemans, N Zucchet, S Kobayashi, J Von Oswald, J Sacramento Advances in Neural Information Processing Systems 35, 33603-33617, 2022 | 6 | 2022 |
| On the reversed bias-variance tradeoff in deep ensembles S Kobayashi, J von Oswald, BF Grewe ICML, 2021 | 4 | 2021 |
| Meta-Learning via Classifier (-free) Guidance E Nava, S Kobayashi, Y Yin, RK Katzschmann, BF Grewe arXiv preprint arXiv:2210.08942, 2022 | 1 | 2022 |
| The least-control principle for learning at equilibrium A Meulemans, N Zucchet, S Kobayashi, J von Oswald, J Sacramento arXiv preprint arXiv:2207.01332, 2022 | 1 | 2022 |
| Uncovering mesa-optimization algorithms in Transformers J von Oswald, E Niklasson, M Schlegel, S Kobayashi, N Zucchet, ... arXiv preprint arXiv:2309.05858, 2023 | | 2023 |
| Gated recurrent neural networks discover attention N Zucchet, S Kobayashi, Y Akram, J von Oswald, M Larcher, A Steger, ... arXiv preprint arXiv:2309.01775, 2023 | | 2023 |
| Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis A Meulemans, S Schug, S Kobayashi, N Daw, G Wayne arXiv preprint arXiv:2306.16803, 2023 | | 2023 |
| Meta-Learning via Classifier (-free) Diffusion Guidance E Nava, S Kobayashi, Y Yin, RK Katzschmann, BF Grewe Transactions on Machine Learning Research, 2023 | | 2023 |
| Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel S Kobayashi, P Vilimelis Aceituno, J Von Oswald Advances in Neural Information Processing Systems 35, 25335-25348, 2022 | | 2022 |
| Spallation Materials Technology (IWSMT-9) GS Bauer, W He, YL Sun, TJ Liang, W Yin, D Zhao, F Gallmeier, ... | | |
Johannes von OswaldResearch Scientist, Google Research and ETH Zurich, Institute of Theoretical Computer ScienceVerified email at google.com
