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Benjamin F. Grewe
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Journal Articles
- 2024
- [j8]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) - [j7]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) - 2023
- [j6]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) - [j5]Pau Vilimelis Aceituno
, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe
:
Learning cortical hierarchies with temporal Hebbian updates. Frontiers Comput. Neurosci. 17 (2023) - [j4]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) - 2018
- [j3]Jones G. Parker, Jesse D. Marshall, Biafra Ahanonu
, Yu-Wei Wu
, Tony Hyun Kim, Benjamin F. Grewe
, Yanping Zhang, Jin Zhong Li, Jun B. Ding
, Michael D. Ehlers, Mark J. Schnitzer:
Diametric neural ensemble dynamics in parkinsonian and dyskinetic states. Nat. 557(7704): 177-182 (2018) - 2017
- [j2]Benjamin F. Grewe
, Jan Gründemann
, Lacey J. Kitch, Jérôme A. Lecoq, Jones G. Parker, Jesse D. Marshall, Margaret C. Larkin, Pablo E. Jercog
, Francois Grenier, Jin Zhong Li, Andreas Lüthi
, Mark J. Schnitzer:
Neural ensemble dynamics underlying a long-term associative memory. Nat. 543(7647): 670-675 (2017) - [j1]Ryan Remedios, Ann Kennedy, Moriel Zelikowsky
, Benjamin F. Grewe
, Mark J. Schnitzer, David J. Anderson:
Social behaviour shapes hypothalamic neural ensemble representations of conspecific sex. Nat. 550(7676): 388-392 (2017)
Conference and Workshop Papers
- 2023
- [c10]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 - 2022
- [c9]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 - [c8]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 - [c7]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 - 2021
- [c6]Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe:
Continual learning in recurrent neural networks. ICLR 2021 - [c5]Johannes von Oswald, Seijin Kobayashi, João Sacramento, Alexander Meulemans, Christian Henning, Benjamin F. Grewe:
Neural networks with late-phase weights. ICLR 2021 - [c4]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 - [c3]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 - 2020
- [c2]Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe:
Continual learning with hypernetworks. ICLR 2020 - [c1]Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe:
A Theoretical Framework for Target Propagation. NeurIPS 2020
Informal and Other Publications
- 2024
- [i21]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) - [i20]Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann:
Local vs Global continual learning. CoRR abs/2407.16611 (2024) - 2023
- [i19]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) - [i18]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) - [i17]Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera, Benjamin F. Grewe, Angeliki Pantazi
:
Efficient Biologically Plausible Adversarial Training. CoRR abs/2309.17348 (2023) - [i16]Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann:
Towards guarantees for parameter isolation in continual learning. CoRR abs/2310.01165 (2023) - 2022
- [i15]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) - [i14]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) - [i13]Christoph von der Malsburg, Thilo Stadelmann
, Benjamin F. Grewe:
A Theory of Natural Intelligence. CoRR abs/2205.00002 (2022) - [i12]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) - [i11]Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann
, Benjamin F. Grewe:
Meta-Learning via Classifier(-free) Guidance. CoRR abs/2210.08942 (2022) - [i10]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) - [i9]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
- [i8]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) - [i7]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) - [i6]Christian Henning, Francesco D'Angelo, Benjamin F. Grewe:
Are Bayesian neural networks intrinsically good at out-of-distribution detection? CoRR abs/2107.12248 (2021) - [i5]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
- [i4]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) - [i3]Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe:
A Theoretical Framework for Target Propagation. CoRR abs/2006.14331 (2020) - [i2]João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe:
Economical ensembles with hypernetworks. CoRR abs/2007.12927 (2020) - 2019
- [i1]Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe:
Continual learning with hypernetworks. CoRR abs/1906.00695 (2019)
Coauthor Index
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