Matthias Kissel

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Backpropagation Algorithm

Weight Matrices

Reinforcement Learning

Top Venues

Publications

Luca Sacchetto, Mathias Korte, Sven Gronauer, Matthias Kissel, Klaus Diepold
Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect. IROS (2023)
Matthias Kissel, Klaus Diepold
Structured Matrices and Their Application in Neural Networks: A Survey. New Gener. Comput. 41 (3) (2023)
Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. IROS (2022)
Matthias Kissel, Klaus Diepold
Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices. ESANN (2022)
Matthias Kissel, Sven Gronauer, Mathias Korte, Luca Sacchetto, Klaus Diepold
Exploiting Structures in Weight Matrices for Efficient Real-Time Drone Control with Neural Networks. EPIA (2022)
Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. CoRR (2022)
Matthias Kissel, Klaus Diepold
Convolutional Neural Networks with analytically determined Filters. IJCNN (2022)
Matthias Kissel, Martin Gottwald, Biljana Gjeroska, Philipp Paukner, Klaus Diepold
Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices. EPIA (2022)
Matthias Kissel, Martin Gottwald, Klaus Diepold
Neural Network Training with Safe Regularization in the Null Space of Batch Activations. ICANN (2) (2020)
Matthias Kissel, Klaus Diepold
Sobolev Training with Approximated Derivatives for Black-Box Function Regression with Neural Networks. ECML/PKDD (2) (2019)