Benjamin F. Grewe

According to our database, Benjamin F. Grewe authored at least 33 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Christoph J. Laux, Yarden As, Ruixuan Li, Kaat Van Assche, Ayoob Davoodi, Nicola Alessandro Cavalcanti, Mazda Farshad, Benjamin F. Grewe, Emmanuel B. Vander Poorten, Andreas Krause, Philipp Fürnstahl

Medical Image Anal., 2025

2024

MC Layer Normalization for calibrated uncertainty in Deep Learning.

Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti

Trans. Mach. Learn. Res., 2024

Local vs Global continual learning.

Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann

CoRR, 2024

The Dynamic Net Architecture: Learning Robust and Holistic Visual Representations Through Self-Organizing Networks.

Pascal Sager, Jan Milan Deriu, Benjamin F. Grewe, Thilo Stadelmann, Christoph von der Malsburg

CoRR, 2024

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.

Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann

IEEE Access, 2024

Automated process monitoring in injection molding via representation learning and setpoint regression.

Peng Yan, Ahmed Abdulkadir, Giulia Aguzzi, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs.

Lukas Tuggener, Pascal Sager, Yassine Taoudi-Benchekroun, Benjamin F. Grewe, Thilo Stadelmann

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2023

Bio-inspired, task-free continual learning through activity regularization.

Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe

Biol. Cybern., October, 2023

Learning cortical hierarchies with temporal Hebbian updates.

Pau Vilimelis Aceituno, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe

Frontiers Comput. Neurosci., February, 2023

Meta-Learning via Classifier(-free) Diffusion Guidance.

Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe

Trans. Mach. Learn. Res., 2023

Towards guarantees for parameter isolation in continual learning.

Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann

CoRR, 2023

Efficient Biologically Plausible Adversarial Training.

Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera, Benjamin F. Grewe, Angeliki Pantazi

CoRR, 2023

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.

Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann

CoRR, 2023

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

CoRR, 2023

Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions.

Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2023

2022

Meta-Learning via Classifier(-free) Guidance.

Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe

CoRR, 2022

A Theory of Natural Intelligence.

Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe

CoRR, 2022

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models.

Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann

Proceedings of the International Conference on Machine Learning, 2022

Minimizing Control for Credit Assignment with Strong Feedback.

Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe

Proceedings of the International Conference on Machine Learning, 2022

Active Learning for Imbalanced Civil Infrastructure Data.

Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Uncertainty estimation under model misspecification in neural network regression.

Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning

CoRR, 2021

Are Bayesian neural networks intrinsically good at out-of-distribution detection?

Christian Henning, Francesco D'Angelo, Benjamin F. Grewe

CoRR, 2021

Credit Assignment in Neural Networks through Deep Feedback Control.

Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Posterior Meta-Replay for Continual Learning.

Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural networks with late-phase weights.

Johannes von Oswald, Seijin Kobayashi, João Sacramento, Alexander Meulemans, Christian Henning, Benjamin F. Grewe

Proceedings of the 9th International Conference on Learning Representations, 2021

Continual learning in recurrent neural networks.

Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Economical ensembles with hypernetworks.

João Sacramento, Johannes von Oswald, Seijin Kobayashi, Christian Henning, Benjamin F. Grewe

CoRR, 2020

Continual Learning in Recurrent Neural Networks with Hypernetworks.

Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe

CoRR, 2020

A Theoretical Framework for Target Propagation.

Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, João Sacramento, Benjamin F. Grewe

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continual learning with hypernetworks.

Johannes von Oswald, Christian Henning, João Sacramento, Benjamin F. Grewe

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Diametric neural ensemble dynamics in parkinsonian and dyskinetic states.

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

Nat., 2018

2017

Social behaviour shapes hypothalamic neural ensemble representations of conspecific sex.

Ryan Remedios, Ann Kennedy, Moriel Zelikowsky, Benjamin F. Grewe, Mark J. Schnitzer, David J. Anderson

Nat., 2017

Neural ensemble dynamics underlying a long-term associative memory.

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

Nat., 2017