David Peer

23 papers A 1C 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents.
CoRR
David Peer, Sebastian Stabinger
2024 J jnl
ANLS* - A Universal Document Processing Metric for Generative Large Language Models.
CoRR
David Peer, Philemon Schöpf, Volckmar Nebendahl, Alexander Rietzler, Sebastian Stabinger
2022 — conf
Affordance detection with Dynamic-Tree Capsule Networks.
Humanoids
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
2022 J jnl
Affordance detection with Dynamic-Tree Capsule Networks.
CoRR
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
2022 J jnl
Greedy-layer pruning: Speeding up transformer models for natural language processing.
Pattern Recognit. Lett.
David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez
2022 C conf
Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules.
IPAS
Chris Engelhardt, Jakob Mittelberger, David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2022 J jnl
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization.
CoRR
David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
2022 J jnl
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization.
Trans. Mach. Learn. Res.
David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
2022 J jnl
Momentum Capsule Networks.
CoRR
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
2022 J jnl
Momentum Capsule Networks.
Trans. Mach. Learn. Res.
Josef Gugglberger, Antonio Jose Rodríguez-Sánchez, David Peer
2021 J jnl
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks.
CoRR
Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez
2021 J jnl
Arguments for the unsuitability of convolutional neural networks for non-local tasks.
Neural Networks
Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez
2021 J jnl
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal.
CoRR
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2021 A conf
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks.
WACV
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2021 J jnl
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models.
CoRR
David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez
2021 J jnl
Limitation of capsule networks.
Pattern Recognit. Lett.
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2021 — conf
Training Deep Capsule Networks with Residual Connections.
ICANN (1)
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
2021 J jnl
Training Deep Capsule Networks with Residual Connections.
CoRR
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
2021 J jnl
conflicting_bundle.py - A python module to identify problematic layers in deep neural networks.
Softw. Impacts
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2020 J jnl
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks.
CoRR
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2020 — ch.
Resilient Techniques Against Disruptions of Volatile Cloud Resources.
Guide to Disaster-Resilient Communication Networks
Sasko Ristov, Thomas Fahringer, David Peer, Thanh-Phuong Pham, Marjan Gusev, Carmen Mas Machuca
2019 J jnl
Limitations of routing-by-agreement based capsule networks.
CoRR
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
2018 J jnl
Training Deep Capsule Networks.
CoRR
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez