activity
20092026
most citedRisk-sensitive Reinforcement Learning

116 citations · 626 across the 37 of their papers we have counts for

collaborators

37 papers

q-bio.NC2026

Forward and reverse delay-driven hippocampal replay without symmetric plasticity

Georg Reich, Matthew Cook, Klaus Obermayer +1

Hippocampal replay is a phenomenon observed in mammals and songbirds where neural activation sequences experienced during wakeful periods are repeated during rest or sleep. This me…

cs.CV2022★ 2 cited

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder

Jonas Dippel, Matthias Lenga, Thomas Goerttler +2

It is common practice to reuse models initially trained on different data to increase downstream task performance. Especially in the computer vision domain, ImageNet-pretrained wei…

cs.LG2022★ 1 cited

Similarity of Pre-trained and Fine-tuned Representations

Thomas Goerttler, Klaus Obermayer

In transfer learning, only the last part of the networks - the so-called head - is often fine-tuned. Representation similarity analysis shows that the most significant change still…

cs.CV2021

A modular framework for object-based saccadic decisions in dynamic scenes

Nicolas Roth, Pia Bideau, Olaf Hellwich +2

Visually exploring the world around us is not a passive process. Instead, we actively explore the world and acquire visual information over time. Here, we present a new model for s…

cs.LG2021★ 1 cited

Exploring the Similarity of Representations in Model-Agnostic Meta-Learning

Thomas Goerttler, Klaus Obermayer

In past years model-agnostic meta-learning (MAML) has been one of the most promising approaches in meta-learning. It can be applied to different kinds of problems, e.g., reinforcem…

q-bio.NC2021★ 17 cited

Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators

Teresa Chouzouris, Nicolas Roth, Caglar Cakan +1

We apply the framework of optimal nonlinear control to steer the dynamics of a whole-brain network of FitzHugh-Nagumo oscillators. Its nodes correspond to the cortical areas of an…