Carola-Bibiane Schönlieb
29 papers · 2018–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (52) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
(2)
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Bronze
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Prolific Year · Prolific
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Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(135)
Venues
Top co-authors
Research topics
Deep Learning
(20)
Machine Learning
(18)
Architectures
(12)
Learning Types · Deep Learning
(9)
Optimization & Theory
(9)
Computer Vision
(8)
Core Methods
(7)
Processing
(7)
Artificial Intelligence
(6)
Core AI
(5)
Mathematics & Optimization
(4)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Optimization
(4)
Learning Paradigms
(3)
Keywords
graph neural network
(6)
inverse problem
(4)
image restoration
(4)
stochastic gradient descent
(2)
deep reinforcement learning
(2)
message passing
(2)
computed tomography
(2)
representation learning
(2)
physics-informed neural network
(2)
neural operator
(2)
compressed sensing
(2)
intrinsic dimension
(2)
proximal algorithm
(2)
diffeomorphic transformation
(2)
non-convex optimization
(1)
self-attention mechanism
(1)
contrastive learning
(1)
few-shot learning
(1)
feature learning
(1)
stochastic gradient
(1)
Papers
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
AAAI 2026
Mind the Gap: Transferring Labels to Align Object Detection Datasets
CVPR 2026
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
AAAI 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
CVPR 2025
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
ICLR 2025
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
ICML 2025
Graph Adaptive Autoregressive Moving Average Models
ICML 2025
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
MICCAI 2025
Learning Regularization for Graph Inverse Problems
AAAI 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
ICLR 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
ICML 2025
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
MICCAI 2024
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
ICML 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
NeurIPS 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
NeurIPS 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
ICML 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
MICCAI 2024
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
ICML 2024
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
JMLR 2023
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
CVPR 2023
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
WACV 2022
On Biased Stochastic Gradient Estimation
JMLR 2022
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior
ECCV 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
JMLR 2022
End-to-end reconstruction meets data-driven regularization for inverse problems
NeurIPS 2021
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect
ICCV 2019
Adversarial Regularizers in Inverse Problems
NeurIPS 2018