Matthias Kissel

12 papers A 2B 2Misc 2Journal 2Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — —
Neural Networks with Sequentially Semiseparable Weight Matrices.
Matthias Kissel
2023 — conf
Neural Networks Comprising Sequentially Semiseparable Matrices with One Dimensional State Variable are Universal Approximators.
PKDD/ECML Workshops (4)
Matthias Kissel, Klaus Diepold
2023 A conf
Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect.
IROS
Luca Sacchetto, Mathias Korte, Sven Gronauer, Matthias Kissel, Klaus Diepold
2023 J jnl
Structured Matrices and Their Application in Neural Networks: A Survey.
New Gener. Comput.
Matthias Kissel, Klaus Diepold
2022 Misc conf
Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices.
EPIA
Matthias Kissel, Martin Gottwald, Biljana Gjeroska, Philipp Paukner, Klaus Diepold
2022 B conf
Convolutional Neural Networks with analytically determined Filters.
IJCNN
Matthias Kissel, Klaus Diepold
2022 B conf
Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices.
ESANN
Matthias Kissel, Klaus Diepold
2022 Misc conf
Exploiting Structures in Weight Matrices for Efficient Real-Time Drone Control with Neural Networks.
EPIA
Matthias Kissel, Sven Gronauer, Mathias Korte, Luca Sacchetto, Klaus Diepold
2022 A conf
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors.
IROS
Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold
2022 J jnl
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors.
CoRR
Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold
2020 — conf
Neural Network Training with Safe Regularization in the Null Space of Batch Activations.
ICANN (2)
Matthias Kissel, Martin Gottwald, Klaus Diepold
2019 — conf
Sobolev Training with Approximated Derivatives for Black-Box Function Regression with Neural Networks.
ECML/PKDD (2)
Matthias Kissel, Klaus Diepold