Disputationen
Disputation Zhaolan Huang
Thema der Dissertation : Efficient Operation of Edge AI and Tiny Machine Learning on Heterogeneous Resource-Constrained Devices Thema der Disputation: Bringing Artificial Intelligence to Low-power Hardware: Challenges & Trends
Ort: Seminarraum 005 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin) &
Disputation Nabil Akram Jabareen
Thema der Dissertation: On Spatial Inductive Bias for Deep Learning in Medical Imaging Thema der Disputation: Does Scaling Neural Networks Lead to Understanding?
Ort: Seminarraum 051 (Fachbereich Mathematik und Informatik, Takustr.9, 14195 Berlin) &
Disputation Sefika Efeoglu
Thema der Dissertation: Continual Relation Extraction for Knowledge Graph Completion Semantic Continuity in Large Language Models Thema der Disputation: Semantic Continuity in Dynamic Knowledge Graph Generation
Ort: Seminarraum 005 (Fachbereich Mathematik und Informatik, Takustr, 9, 14195 Berlin) &
Disputation Ekin Deniz Aksu
Thema der Dissertation: Model generalization across cell types in computational regulatory genomics Thema der Disputation: Transformers in genomics and single cells
Ort: Seminarraum 006 (Fachbereich Mathematik und Informatik, Takustr.9, 14195 Berlin)
Disputation Philipp Emanuel Kemmler
Thema der Dissertation: Data-driven computational approaches for the prediction of chemo-protein based food allergenicity and adverse effects Thema der Disputation: Biased and Imbalanced Data in Biomedical Machine Learning: Problems and Solutions
Ort: Seminarraum 053 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
Disputation Wei Huang
Thema der Dissertation: Topics in Partial Differential Equations: Scaling Limits, Homogenization, and Inverse Problems Thema der Disputation: Guidance in Diffusion Models via Doob’s h-Transform
Ort: Seminarraum 032 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Yannek Thorben Walter Nowatzky
Thema der Dissertation: In search of the mirror image: In silico prediction and similarity scoring of tandem mass spectra in metabolomics and metaproteomics Thema der Disputation: Computational Strategies for Compound and Peptide Identification from Tandem Mass Spectra
Ort: Seminarraum 005 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin) &
Disputation Julius Valten Upmeier zu Belzen
Thema der Dissertation: An interpretable omnigenic neural network architecture for the human genome Thema der Disputation: From predictive performance to scientific knowledge: benchmarking in biomedical machine learning
Ort: Seminarraum 031 (Fachbereich Mathematik und Informatik, Arnimallee 7, 14195 Berlin)
Disputation Rosaria Tornisiello
Thema der Dissertation: Leveraging single-cell RNA sequencing to dissect mammalian development and mutant phenotypes Thema der Disputation: Hidden Markov Models and their applications in Biology
Ort: Seminarraum 006 (Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
Disputation Xavier Timoneda I Comas
Thema der Dissertation: Self-Supervised multi-modal learning for Dense Visual Perception Thema der Disputation: From Open-Loop Learning to Closed-Loop Driving: Bridging the Gap in Autonomous Driving
Ort: Seminarraum E006 (Fachbereich Mathematik und Informatik, Königin-Luise-Str. 24-26, 14195 Berlin)
Disputation Sven Uwe Tornquist
Thema der Dissertation: Approximation methods for materials with discontinuities Thema der Disputatio n: Kernel methods: From hard-margin SVM to operator estimation
Ort: Seminarraum 006 (Fachbereich Mathematik und Informatik, Königin-Luise-Str. 24-26, 14195 Berlin)
Disputation Dongsheng Yuan
Thema der Dissertation: MACHINE LEARNING METHODS FOR DNA METHYLATION-BASED CLASSIFICATION OF TUMORS Thema der Disputation: Single-Cell Foundation Models as Models of Biology
Ort: Seminarraum 007/008 (Fachbereich Mathematik und Informatik, Arnimallee 6, 14195 Berlin)
Disputation Yue Yao
Thema der Dissertation: Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Thema der Disputation: Modern Weather Forecasting: From Physical Simulation to Data-Driven Models
Ort: Raum 006 (Fachbereich Mathematik und Informatik, Königin-Luise-Str.24-26, 14195 Berlin) &