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)

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)

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)

Continual learning with hypernetworks. - Johannes von Oswald; Christian Henning; João Sacramento; Benjamin F. Grewe (ICLR, 2020)

A Theoretical Framework for Target Propagation. - Alexander Meulemans; Francesco S. Carzaniga; Johan A. K. Suykens; João Sacramento; Benjamin F. Grewe (NeurIPS, 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)

Economical ensembles with hypernetworks. - João Sacramento; Johannes von Oswald; Seijin Kobayashi; Christian Henning; Benjamin F. Grewe (CoRR, 2020)

Continual learning in recurrent neural networks. - Benjamin Ehret; Christian Henning; Maria R. Cervera; Alexander Meulemans; Johannes von Oswald; Benjamin F. Grewe (ICLR, 2021)

Neural networks with late-phase weights. - Johannes von Oswald; Seijin Kobayashi; João Sacramento; Alexander Meulemans; Christian Henning; Benjamin F. Grewe (ICLR, 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 (NeurIPS, 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 (NeurIPS, 2021)

Are Bayesian neural networks intrinsically good at out-of-distribution detection? - Christian Henning; Francesco D'Angelo; Benjamin F. Grewe (CoRR, 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)

Active Learning for Imbalanced Civil Infrastructure Data. - Thomas Frick; Diego Antognini; Mattia Rigotti; Ioana Giurgiu; Benjamin F. Grewe; Cristiano Malossi (ECCV Workshops (7), 2022)

Minimizing Control for Credit Assignment with Strong Feedback. - Alexander Meulemans; Matilde Tristany Farinha; Maria R. Cervera; João Sacramento; Benjamin F. Grewe (ICML, 2022)

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. - Elvis Nava; John Z. Zhang; Mike Yan Michelis; Tao Du 001; Pingchuan Ma 002; Benjamin F. Grewe; Wojciech Matusik; Robert Kevin Katzschmann (ICML, 2022)

A Theory of Natural Intelligence. - Christoph von der Malsburg; Thilo Stadelmann; Benjamin F. Grewe (CoRR, 2022)

Meta-Learning via Classifier(-free) Guidance. - Elvis Nava; Seijin Kobayashi; Yifei Yin; Robert K. Katzschmann; Benjamin F. Grewe (CoRR, 2022)

Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. - Hamza Keurti; Hsiao-Ru Pan; Michel Besserve; Benjamin F. Grewe; Bernhard Schölkopf (ICML, 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 001; Philipp Fürnstahl (CoRR, 2023)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2023)

Efficient Biologically Plausible Adversarial Training. - Matilde Tristany Farinha; Thomas Ortner; Giorgia Dellaferrera; Benjamin F. Grewe; Angeliki Pantazi (CoRR, 2023)

Towards guarantees for parameter isolation in continual learning. - Giulia Lanzillotta; Sidak Pal Singh; Benjamin F. Grewe; Thomas Hofmann 001 (CoRR, 2023)

Unsupervised Musical Object Discovery from Audio. - Joonsu Gha; Vincent Herrmann; Benjamin F. Grewe; Jürgen Schmidhuber; Anand Gopalakrishnan (CoRR, 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)

Learning cortical hierarchies with temporal Hebbian updates. - Pau Vilimelis Aceituno; Matilde Tristany Farinha; Reinhard Loidl; Benjamin F. Grewe (Frontiers Comput. Neurosci., 2023)

Bio-inspired, task-free continual learning through activity regularization. - Francesco Lässig; Pau Vilimelis Aceituno; Martino Sorbaro 001; Benjamin F. Grewe (Biol. Cybern., 2023)

Local vs Global continual learning. - Giulia Lanzillotta; Sidak Pal Singh; Benjamin F. Grewe; Thomas Hofmann 001 (CoLLAs, 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 (SDS, 2024)

Automated process monitoring in injection molding via representation learning and setpoint regression. - Peng Yan 006; Ahmed Abdulkadir; Giulia Aguzzi; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (SDS, 2024)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Paul-Philipp Luley; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (IEEE Access, 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)

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)

A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks. - Matteo Saponati; Chiara De Luca; Giacomo Indiveri; Benjamin F. Grewe (NICE, 2025)

Learning Actionable World Models for Industrial Process Control. - Peng Yan 006; Ahmed Abdulkadir; Gerrit A. Schatte; Giulia Aguzzi; Joonsu Gha; Nikola Pascher; Matthias Rosenthal; Yunlong Gao 001; Benjamin F. Grewe; Thilo Stadelmann (SDS, 2025)

Hounsfield Unit Ranges as Inductive Bias for Intra-Clinical Learning of Data-Efficient CT Segmentation Models. - Benjamin Meyer; Pascal Sager; Ahmed Abdulkadir; Benjamin F. Grewe; Philipp Schuetz; Thilo Stadelmann; Felice Burn (SDS, 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 003; Kaat Van Assche; Ayoob Davoodi; Nicola Alessandro Cavalcanti; Mazda Farshad; Benjamin F. Grewe; Emmanuel B. Vander Poorten; et al. (Medical Image Anal., 2025)

AI Agents for Computer Use: A Review of Instruction-based Computer Control, GUI Automation, and Operator Assistants. - Pascal Sager; Benjamin Meyer; Peng Yan 006; Rebekka von Wartburg-Kottler; Layan Etaiwi; Aref Enayati; Gabriel Nobel; Ahmed Abdulkadir; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2025)

The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training. - Matteo Saponati; Pascal Sager; Pau Vilimelis Aceituno; Thilo Stadelmann; Benjamin F. Grewe (CoRR, 2025)

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking. - Pascal Sager; Ashwini Kamaraj; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2025)

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity. - Elvis Nava; Victoriano Montesinos; Erik Bauer; Benedek Forrai; Jonas Pai; Stefan Weirich; Stephan-Daniel Gravert; Philipp Wand; Stephan Polinski; Benjamin F. Grewe; Robert K. Katzschmann (CoRR, 2025)

A document is worth a structured record: Principled inductive bias design for document recognition. - Benjamin Meyer; Lukas Tuggener; Sascha Hänzi; Daniel Schmid; Erdal Ayfer; Benjamin F. Grewe; Ahmed Abdulkadir; Thilo Stadelmann (CoRR, 2025)

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. - Yunke Ao; Manish Prajapat; Yarden As; Yassine Taoudi-Benchekroun; Fabio Carrillo; Hooman Esfandiari; Benjamin F. Grewe; Andreas Krause 001; Philipp Fürnstahl (CoRR, 2025)