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Seijin Kobayashi
Seijin Kobayashi
ETHZ
Verified email at ethz.ch
Title
Cited by
Cited by
Year
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
1872017
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), 1-9, 2014
1212014
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
292021
Meta-learning via hypernetworks
D Zhao, S Kobayashi, J Sacramento, J von Oswald
IEEE, 2020
242020
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
232021
Neural networks with late-phase weights
J Von Oswald, S Kobayashi, A Meulemans, C Henning, BF Grewe, ...
arXiv preprint arXiv:2007.12927, 2020
132020
On the reversed bias-variance tradeoff in deep ensembles
S Kobayashi, J von Oswald, BF Grewe
ICML, 2021
42021
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
12022
Meta-Learning via Classifier (-free) Guidance
E Nava, S Kobayashi, Y Yin, RK Katzschmann, BF Grewe
arXiv preprint arXiv:2210.08942, 2022
12022
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
12022
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, ...
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