Carola-Bibiane Schönlieb

Venues

Frequent coauthors

Papers

1. Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
   AAAI 2026 ·

   Hong Ye Tan

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2. Approximation theory for 1-Lipschitz ResNets
   NeurIPS 2025 ·

   Davide Murari

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3. Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
   AAAI 2025 ·

   Yi Zhang

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4. D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
   NeurIPS 2025 ·

   Lipei Zhang

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5. DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
   CVPR 2025 ·

   Krishna Sri Ipsit Mantri

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6. Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
   ICLR 2025 ·

   Stathis Megas

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7. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
   ICML 2025 ·

   James Rowbottom

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8. Graph Adaptive Autoregressive Moving Average Models
   ICML 2025 ·

   Moshe Eliasof

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9. Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
   MICCAI 2025 ·

   Chun-Wun Cheng

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10. Learning Regularization for Graph Inverse Problems
    AAAI 2025 ·

    Moshe Eliasof

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11. Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
    ICLR 2025 ·

    Zakhar Shumaylov

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12. On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
    AAAI 2025 ·

    Alessio Gravina

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13. Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
    NeurIPS 2025 ·

    Ali Hariri

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14. Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
    ICML 2025 ·

    Willem Diepeveen

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15. Training Data Reconstruction: Privacy due to Uncertainty?
    CVPR 2025 ·

    Christina Runkel

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16. Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
    MICCAI 2024 ·

    Lipei Zhang

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17. DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
    NeurIPS 2024 ·

    Krishna Sri Ipsit Mantri

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18. Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
    ICML 2024 ·

    Jan Stanczuk

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19. GRANOLA: Adaptive Normalization for Graph Neural Networks
    NeurIPS 2024 ·

    Moshe Eliasof

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20. HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
    ICML 2024 ·

    Andrey Bryutkin

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21. On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
    AISTATS 2024 ·

    Moshe Eliasof

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22. Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
    ECAI 2024 ·

    Moshe Eliasof

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23. Spatiotemporal Graph Neural Network Modelling Perfusion MRI
    MICCAI 2024 ·

    Ruodan Yan

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24. TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
    ACM MM 2024 ·

    Lihao Liu

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25. Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
    ICML 2024 ·

    Zakhar Shumaylov

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