Carola‐Bibiane Schönlieb
5 papers in the PaperMetrix corpus
Papers by this author
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A Continuous-time Stochastic Gradient Descent Method for Continuous Data
2021 · arXiv (Cornell University)
Optimization problems with continuous data appear in, e.g., robust machine learning, functional data analysis, and variational inference. Here, the target function is given as an integral over a family of (continuously) indexed target functions - …
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Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
2022 · arXiv (Cornell University)
Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and …
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DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
2023 · arXiv (Cornell University)
Diffusion Probabilistic Models have recently shown remarkable performance in generative image modeling, attracting significant attention in the computer vision community. However, while a substantial amount of diffusion-based research has focused on generative tasks, few studies …
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Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
2023 · arXiv (Cornell University)
Clinical data is often affected by clinically irrelevant factors such as discrepancies between measurement devices or differing processing methods between sites. In the field of machine learning (ML), these factors are known as domains and …
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Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
2024 · arXiv (Cornell University)
The quest for robust and generalizable machine learning models has driven recent interest in exploiting symmetries through equivariant neural networks. In the context of PDE solvers, recent works have shown that Lie point symmetries can …