Benjamin F. Grewe

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Natural Intelligence

Visual Representation

Credit Assignment

Top Venues

Publications

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 (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 (2024)
Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
Local vs Global continual learning. CoRR (2024)
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. ICML (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)
Pau Vilimelis Aceituno, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe
Learning cortical hierarchies with temporal Hebbian updates. Frontiers Comput. Neurosci. 17 (2023)
Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera, Benjamin F. Grewe, Angeliki Pantazi
Efficient Biologically Plausible Adversarial Training. CoRR (2023)
Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
Towards guarantees for parameter isolation in continual learning. CoRR (2023)
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe
Bio-inspired, task-free continual learning through activity regularization. Biol. Cybern. 117 (4) (2023)
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 (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 (2023)
Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
Meta-Learning via Classifier(-free) Guidance. CoRR (2022)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
Active Learning for Imbalanced Civil Infrastructure Data. CoRR (2022)
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
Minimizing Control for Credit Assignment with Strong Feedback. ICML (2022)
Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
Minimizing Control for Credit Assignment with Strong Feedback. CoRR (2022)
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
Homomorphism Autoencoder - Learning Group Structured Representations from Observed Transitions. CoRR (2022)
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)
Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe
A Theory of Natural Intelligence. CoRR (2022)
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe
Bio-Inspired, Task-Free Continual Learning through Activity Regularization. CoRR (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 (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)
Christian Henning, Francesco D'Angelo, Benjamin F. Grewe
Are Bayesian neural networks intrinsically good at out-of-distribution detection? CoRR (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 (2021)
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 (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)
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)
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 (2021)
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
Continual learning in recurrent neural networks. ICLR (2021)
Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe
Continual Learning in Recurrent Neural Networks with Hypernetworks. CoRR (2020)
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation. NeurIPS (2020)
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation. CoRR (2020)
Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe
Continual learning with hypernetworks. ICLR (2020)
João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe
Economical ensembles with hypernetworks. CoRR (2020)
Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe
Continual learning with hypernetworks. CoRR (2019)
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) (2018)
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) (2017)
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) (2017)