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Publication search results
found 39 matches
- 2024
- Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access 12: 3768-3789 (2024) - Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti:
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024) - Pascal Sager, Jan Milan Deriu, Benjamin F. Grewe, Thilo Stadelmann, Christoph von der Malsburg:
The Dynamic Net Architecture: Learning Robust and Holistic Visual Representations Through Self-Organizing Networks. CoRR abs/2407.05650 (2024) - Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann:
Local vs Global continual learning. CoRR abs/2407.16611 (2024) - 2023
- Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe:
Bio-inspired, task-free continual learning through activity regularization. Biol. Cybern. 117(4): 345-361 (2023) - Pau Vilimelis Aceituno, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe:
Learning cortical hierarchies with temporal Hebbian updates. Frontiers Comput. Neurosci. 17 (2023) - Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe:
Meta-Learning via Classifier(-free) Diffusion Guidance. Trans. Mach. Learn. Res. 2023 (2023) - Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf:
Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. ICML 2023: 16190-16215 - Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl:
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. CoRR abs/2305.05354 (2023) - Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. CoRR abs/2307.05638 (2023) - Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera, Benjamin F. Grewe, Angeliki Pantazi:
Efficient Biologically Plausible Adversarial Training. CoRR abs/2309.17348 (2023) - Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann:
Towards guarantees for parameter isolation in continual learning. CoRR abs/2310.01165 (2023) - 2022
- Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) 2022: 283-298 - 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 - Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann:
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. ICML 2022: 16413-16427 - 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) - Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert K. Katzschmann:
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. CoRR abs/2204.12584 (2022) - Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe:
A Theory of Natural Intelligence. CoRR abs/2205.00002 (2022) - Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf:
Homomorphism Autoencoder - Learning Group Structured Representations from Observed Transitions. CoRR abs/2207.12067 (2022) - Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe:
Meta-Learning via Classifier(-free) Guidance. CoRR abs/2210.08942 (2022) - Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. CoRR abs/2210.10586 (2022) - Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe:
Bio-Inspired, Task-Free Continual Learning through Activity Regularization. CoRR abs/2212.04316 (2022) - 2021
- Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe:
Continual learning in recurrent neural networks. ICLR 2021 - Johannes von Oswald, Seijin Kobayashi, João Sacramento, Alexander Meulemans, Christian Henning, Benjamin F. Grewe:
Neural networks with late-phase weights. ICLR 2021 - 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 - Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe:
Credit Assignment in Neural Networks through Deep Feedback Control. NeurIPS 2021: 4674-4687 - 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) - Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe:
Credit Assignment in Neural Networks through Deep Feedback Control. CoRR abs/2106.07887 (2021) - Christian Henning, Francesco D'Angelo, Benjamin F. Grewe:
Are Bayesian neural networks intrinsically good at out-of-distribution detection? CoRR abs/2107.12248 (2021) - 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)
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