Klaus Diepold
Professor
Researches machine learning for cognitive systems, including moral machines and models of affect, building on multimedia signal processing.
Klaus Diepold's lab at TUM works on signal processing & information theory, computational neuroscience & cognition and speech enhancement & signal processing. 27 papers since 2023, 1 at top venues, mostly AAMAS. 6 PhD students.
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 4%
- PhD students
- 6
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 8 papers2024 · T1 1
- 12 papers2023 · T1 0
T1 venuesOtherVenues: AAMAS
Research focuspaper titles that use each topic's words
- Signal processing & information theory0 papers
- Computational neuroscience & cognition0 papers
- Speech enhancement & signal processing0 papers
- cognitive systems0 papers
- multimedia signal0 papers
Paper list
From the lab homepage.
20263 papers
- mediaTUMArchitectural Considerations for Locating Execution Units in Memory-Centric Systems under AI Workloads
- SN Computer Science 7 (2)From Injection to Detection: Analyzing the Impact of Anomalous Data in Federated Learning
- mediaTUMModelling Energy Consumption in Memory-Centric Computer Systems
20254 papers
- ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, , 1-5Classifying Music-Induced Emotion Using Multi-Modal Ensembles of EEG and Audio Feature Models
- IEEE International Conference on AI in Cybersecurity (ICAIC), IEEE, , 1-6Homomorphic Encryption in Federated Medical Image Classification
- Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, , 432-443Impact of Biased Data Injection on Model Integrity in Federated Learning
- JCI Insight 10 (13)Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time
20248 papers
- IEEE German Education Conference (GECon), IEEE, , 1-6‘Komputer & Creativität’ Teaching at the Intersection of Engineering, AI, and Theater
- Animals 14 (21)Digital Holographic Microscopy in Veterinary Medicine - A Feasibility Study to Analyze Label-Free Leukocytes in Blood and Milk of Dairy Cows
- Cognitive Science 48 (9)Exploring Early Number Abilities With Multimodal Transformers
- IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, , 5073-5080Feature Extraction by Image Transformations for Cell Image Classification
- Quantitative Phase Imaging X, SPIEImmunothrombosis of acute care patients quantified with phase imaging flow cytometry
- Proceedings of the Annual Meeting of the Cognitive Science SocietyModeling the Emergence of Letter Shapes
- IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE, , 43-44Patient-Specific Modeling of Daily Activity Patterns for Unsupervised Detection of Psychotic and Non-Psychotic Relapses
- AAMAS (T1)Reinforcement Learning with Ensemble Model Predictive Safety Certification
202312 papers
- Procedia Computer Science 217, , 1427-1436Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
- Technical University of MunichBullet-Safety-Gym: A Framework for Constrained Reinforcement Learning
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEEComparing Quadrotor Control Policies for Zero-Shot Reinforcement Learning under Uncertainty and Partial Observability
- Machine Learning for Healthcare ConferenceComposition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging
- —Detection of Cell Aggregates using Quantitative Phase-Contrast Microscopy
- —Detection of molecular biological objects, cellular biological objects and cell aggregates using quantitative phase-contrast microscopy
- In: Artificial Intelligence in Medicine. Springer Nature SwitzerlandExplainable Artificial Intelligence for Cytological Image Analysis
- Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology PublicationsExplainable Feature Learning with Variational Autoencoders for Holographic Image Analysis
- Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology PublicationsMeasurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation
- In: Nature Communications Medicine. Springer NaturePlatelet aggregates detected using quantitative phase imaging associate with COVID-19 severity
- The Sixteenth International Conference on Advances in Computer-Human Interactions (ACHI)Rethinking Usability Heuristics for Modern Biomedical Interfaces
- Workshop on Interpretable Machine Learning in Healthcare (IMLH)Towards Interpretable Classification of Leukocytes based on Deep Learning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Data
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- The alumni list could not be found on the lab site.
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