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Books and Theses
- 2022
[b1]Maria R. Cervera:
Learning, forgetting and uncertainty estimation in artificial neural networks and in the brain. ETH Zurich, Zürich, Switzerland, 2022
Conference and Workshop Papers
- 2022
- [c3]Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe:
Minimizing Control for Credit Assignment with Strong Feedback. ICML 2022: 15458-15483 - 2021
- [c2]Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe:
Continual learning in recurrent neural networks. ICLR 2021 - [c1]Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento:
Posterior Meta-Replay for Continual Learning. NeurIPS 2021: 14135-14149
Informal and Other Publications
- 2022
- [i4]Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
:
Minimizing Control for Credit Assignment with Strong Feedback. CoRR abs/2204.07249 (2022) - 2021
- [i3]Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, João Sacramento, Benjamin F. Grewe:
Posterior Meta-Replay for Continual Learning. CoRR abs/2103.01133 (2021) - [i2]Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning:
Uncertainty estimation under model misspecification in neural network regression. CoRR abs/2111.11763 (2021) - 2020
- [i1]Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe:
Continual Learning in Recurrent Neural Networks with Hypernetworks. CoRR abs/2006.12109 (2020)
Coauthor Index
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