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- Klaus Diepold
aka: Klaus J. Diepold, Klaus-Jürgen Diepold
Technical University Munich, Germany
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Publication search results
found 164 matches
- 2024
- Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza, Klaus Diepold:
Reinforcement Learning with Ensemble Model Predictive Safety Certification. CoRR abs/2402.04182 (2024) - 2023
- Matthias Kissel, Klaus Diepold:
Structured Matrices and Their Application in Neural Networks: A Survey. New Gener. Comput. 41(3): 697-722 (2023) - Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Artificial Intelligence for Cytological Image Analysis. AIME 2023: 75-85 - Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden:
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. BIOIMAGING 2023: 57-65 - Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. BIOIMAGING 2023: 69-77 - Michael Dötzer, Yixin Mao, Klaus Diepold:
Communication Topologies for Decentralized Federated Learning. FMEC 2023: 232-238 - Sven Gronauer, Daniel Stümke, Klaus Diepold:
Comparing Quadrotor Control Policies for Zero-Shot Reinforcement Learning under Uncertainty and Partial Observability. IROS 2023: 7508-7514 - Luca Sacchetto, Mathias Korte, Sven Gronauer, Matthias Kissel, Klaus Diepold:
Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect. IROS 2023: 7539-7544 - Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold:
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data. ISM 2023: 1427-1436 - David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold:
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. MLHC 2023: 208-229 - Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold:
Towards Interpretable Classification of Leukocytes based on Deep Learning. CoRR abs/2311.14485 (2023) - 2022
- Sven Gronauer, Klaus Diepold:
Multi-agent deep reinforcement learning: a survey. Artif. Intell. Rev. 55(2): 895-943 (2022) - Mohamed-Ali Tnani, Paul Subarnaduti, Klaus Diepold:
Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework. Sensors 22(13): 4813 (2022) - Alice Hein, Klaus Diepold:
A Minimal Model for Compositional Generalization on gSCAN. BlackboxNLP@EMNLP 2022: 1-15 - Matthias Kissel, Martin Gottwald, Biljana Gjeroska, Philipp Paukner, Klaus Diepold:
Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices. EPIA 2022: 476-487 - 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: 525-536 - Matthias Kissel, Klaus Diepold:
Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices. ESANN 2022 - Alice Hein, Lukas J. Meier, Alena Buyx, Klaus Diepold:
A Fuzzy-Cognitive-Maps Approach to Decision-Making in Medical Ethics. FUZZ-IEEE 2022: 1-8 - Mohamed-Ali Tnani, Paul Subarnaduti, Klaus Diepold:
Extract, Compress and Encode: LitNet an Efficient Autoencoder for Noisy Time-Series Data. ICIT 2022: 1-8 - Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. IJCNN 2022: 1-8 - Matthias Kissel, Klaus Diepold:
Convolutional Neural Networks with analytically determined Filters. IJCNN 2022: 1-7 - Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold:
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. IROS 2022: 10170-10176 - Sven Gronauer, Matthias Kissel, Luca Sacchetto, Mathias Korte, Klaus Diepold:
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. CoRR abs/2201.01369 (2022) - Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp, Nawal Hafez, Oliver Hayden, Klaus Diepold:
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis. CoRR abs/2208.08834 (2022) - Yuqicheng Zhu, Mohamed-Ali Tnani, Timo Jahnz, Klaus Diepold:
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data. CoRR abs/2209.14199 (2022) - 2021
- Sven Gronauer, Martin Gottwald, Klaus Diepold:
The Successful Ingredients of Policy Gradient Algorithms. IJCAI 2021: 2455-2461 - Martin Gottwald, Sven Gronauer, Hao Shen, Klaus Diepold:
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation. CoRR abs/2106.08774 (2021) - 2020
- Ömür Yildirim, Revna Acar Vural, Klaus Diepold:
Improving coverage method of autonomous drones for environmentalmonitoring. Turkish J. Electr. Eng. Comput. Sci. 28(6) (2020) - Fabian Pelzl, Klaus Diepold, Jan Auernhammer:
Designing a Multimodal Emotional Interface in the Context of Negotiation. HCI (20) 2020: 501-520 - Matthias Kissel, Martin Gottwald, Klaus Diepold:
Neural Network Training with Safe Regularization in the Null Space of Batch Activations. ICANN (2) 2020: 217-228
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