Laure Ciernik
Doctoral Researcher
Laure Ciernik is a PhD student at the TU Berlin Machine Learning Group. She completed her MSc at ETH Zurich in Data Science, focusing on ML for Healthcare and Bioinformatics. Her master’s thesis was conducted at the Boeva Lab for Computational Cancer Genomics. Laure’s research interests revolve around the intersection of Machine Learning and Biomedicine.
- Biomedical Data Analysis
- Computational genomics
- Computational pathology
- Explainable AI
Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
Marco Morik, Laure Ciernik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Revealing Task-Dependent Layer Relevance via Attentive Multi-Layer Fusion
Laure Ciernik, Agnieszka Kraft, Florian Barkmann, Josephine Yates, Valentina Boeva
Robust and efficient annotation of cell states through gene signature scoring
Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Beyond the final layer: Attentive multilayer fusion for vision transformers
Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Attentive Multi-Layer Fusion for Vision Transformers
AI for the Sciences
The greatest potential of artificial intelligence may lie not only in solving existing tasks more efficiently, but in fundamentally transforming science itself. The Hector Fellow Academy’s new video profile, “AI in Science: How AI Is Changing the Questions We Ask – Klaus-Robert Müller,” explores how artificial intelligence is enabling new discoveries and why it is poised to shape the future of research for years to come.
Girls' Day: dEIn Labor and BIFOLD offer AI workshop
TU Berlin is once again participating in this year's "Girls' Day" on April 25, 2024. dEIn Labor and BIFOLD offer a workshop for schoolgirls from the age of 15.