Berlin Institute for the Foundations of Learning and Data

Recent papers from Berlin Institute for the Foundations of Learning and Data

1. Geometry-Conditioned Hyperalignment for Generalizable EEG Decoding Across Datasets and Paradigms2026
2. PhytClust: Efficient and Optimal Monophyletic Partitioning of Rooted Phylogenetic TreesMolecular Biology and Evolution · 2026
3. Attribution-based diagnostics for single-cell foundation models2026
4. The role of circulating polyunsaturated fatty acids in atrial fibrillation and atrial cardiomyopathy a machine learning-informed structural modelling approachEuropean Journal of Heart Failure · 2026
5. A reproducible benchmark for ECG-to-text report generation: Leakage-safe evaluation, performance floors, and stress testingBiomedical Signal Processing and Control · 2026
6. Architecture of Chinese chemical element namesChemTexts · 2026
7. Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning modelsEClinicalMedicine · 2026
8. Quantitative comparison of causal inference methods for climate tipping pointsNonlinear processes in geophysics · 2026
9. Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued GraphsInternational Journal of Computer Vision · 2026
10. Spatially resolved ex vivo drug response profiling in SMARCB1-deficient sinonasal carcinoma.2026
11. AI-based discovery of functional boundaries in the human brain from intraoperative electrophysiology2026
12. Multi-layered molecular profiling informs the diagnosis and targeted therapy of desmoplastic small round cell tumorNature Communications · 2026
13. Supplementary Data for "A decade of deep learning in remote sensing: A systematic review of reviews"2026
14. Absence of evidence for post-training tDCS effects on motor memory consolidation and premotor–primary motor cortex interaction: a resting-state EEG studyFrontiers in Human Neuroscience · 2026
15. GAIA: A global, multimodal, multiscale vision–language dataset for remote sensing image analysisIEEE Geoscience and Remote Sensing Magazine · 2026
16. Breaking the Barriers of Molecular Dynamics With Deep‐Learning: Opportunities, Pitfalls, and How to Navigate ThemWiley Interdisciplinary Reviews Computational Molecular Science · 2026
17. Towards desiderata-driven design of visual counterfactual explainersPattern Recognition · 2025
18. Data-driven head model individualization from digitized electrode positions or photogrammetry improves M/EEG source localization accuracyImaging Neuroscience · 2025
19. Aligning machine and human visual representations across abstraction levelsNature · 2025
20. Peering inside the black box by learning the relevance of many-body functions in neural network potentialsNature Communications · 2025