Carola-Bibiane Schönlieb

University of Cambridge, UK

25 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-0099-6306 ↗Google Scholar ↗Homepage ↗

Venues

ICML ×6 NeurIPS ×5 AAAI ×4 MICCAI ×3 CVPR ×2 ICLR ×2 ACM MM ×1 AISTATS ×1 ECAI ×1

Frequent coauthors

Moshe Eliasof

×10

Angelica I. Avilés-Rivero

×6

Yanqi Cheng

×4

Zhongying Deng

×3

Alessio Gravina

×3

Davide Bacciu

×3

Zakhar Shumaylov

×3

Subhadip Mukherjee

×2

Davide Murari

×2

Chun-Wun Cheng

×2

Lipei Zhang

×2

Krishna Sri Ipsit Mantri

×2

Papers

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
AAAI 2026 ·
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
, Carola-Bibiane Schönlieb
Approximation theory for 1-Lipschitz ResNets
NeurIPS 2025 ·
Davide Murari
,
Takashi Furuya
, Carola-Bibiane Schönlieb
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
AAAI 2025 ·
Yi Zhang
,
Chun-Wun Cheng
,
Junyi He
,
Zhihai He
, Carola-Bibiane Schönlieb,
Yuyan Chen
,
Angelica I. Avilés-Rivero
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
NeurIPS 2025 ·
Lipei Zhang
,
Rui Sun
,
Zhongying Deng
,
Yanqi Cheng
, Carola-Bibiane Schönlieb,
Angelica I. Avilés-Rivero
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
CVPR 2025 ·
Krishna Sri Ipsit Mantri
, Carola-Bibiane Schönlieb,
Bruno Ribeiro
,
Chaim Baskin
,
Moshe Eliasof
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
ICLR 2025 ·
Stathis Megas
,
Daniel G. Chen
,
Krzysztof Polanski
,
Moshe Eliasof
, Carola-Bibiane Schönlieb,
Sarah A. Teichmann
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
ICML 2025 ·
James Rowbottom
,
Georg Maierhofer
,
Teo Deveney
,
Eike Hermann Müller
,
Alberto Paganini
,
Katharina Schratz
,
Pietro Lio
, Carola-Bibiane Schönlieb,
Chris J. Budd
Graph Adaptive Autoregressive Moving Average Models
ICML 2025 ·
Moshe Eliasof
,
Alessio Gravina
,
Andrea Ceni
,
Claudio Gallicchio
,
Davide Bacciu
, Carola-Bibiane Schönlieb
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
MICCAI 2025 ·
Chun-Wun Cheng
,
Yining Zhao
,
Yanqi Cheng
,
Javier A. Montoya-Zegarra
, Carola-Bibiane Schönlieb,
Angelica I. Avilés-Rivero
Learning Regularization for Graph Inverse Problems
AAAI 2025 ·
Moshe Eliasof
,
Md Shahriar Rahim Siddiqui
, Carola-Bibiane Schönlieb,
Eldad Haber
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
ICLR 2025 ·
Zakhar Shumaylov
,
Peter Zaika
,
James Rowbottom
,
Ferdia Sherry
,
Melanie Weber
, Carola-Bibiane Schönlieb
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025 ·
Alessio Gravina
,
Moshe Eliasof
,
Claudio Gallicchio
,
Davide Bacciu
, Carola-Bibiane Schönlieb
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
NeurIPS 2025 ·
Ali Hariri
,
Alvaro Arroyo
,
Alessio Gravina
,
Moshe Eliasof
, Carola-Bibiane Schönlieb,
Davide Bacciu
,
Xiaowen Dong
,
Kamyar Azizzadenesheli
,
Pierre Vandergheynst
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
ICML 2025 ·
Willem Diepeveen
,
Georgios Batzolis
,
Zakhar Shumaylov
, Carola-Bibiane Schönlieb
Training Data Reconstruction: Privacy due to Uncertainty?
CVPR 2025 ·
Christina Runkel
,
Kanchana Vaishnavi Gandikota
,
Jonas Geiping
, Carola-Bibiane Schönlieb,
Michael Moeller
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
MICCAI 2024 ·
Lipei Zhang
,
Yanqi Cheng
,
Lihao Liu
, Carola-Bibiane Schönlieb,
Angelica I. Avilés-Rivero
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
NeurIPS 2024 ·
Krishna Sri Ipsit Mantri
,
Xinzhi Wang
, Carola-Bibiane Schönlieb,
Bruno Ribeiro
,
Beatrice Bevilacqua
,
Moshe Eliasof
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
ICML 2024 ·
Jan Stanczuk
,
Georgios Batzolis
,
Teo Deveney
, Carola-Bibiane Schönlieb
GRANOLA: Adaptive Normalization for Graph Neural Networks
NeurIPS 2024 ·
Moshe Eliasof
,
Beatrice Bevilacqua
, Carola-Bibiane Schönlieb,
Haggai Maron
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
ICML 2024 ·
Andrey Bryutkin
,
Jiahao Huang
,
Zhongying Deng
,
Guang Yang
, Carola-Bibiane Schönlieb,
Angelica I. Avilés-Rivero
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
AISTATS 2024 ·
Moshe Eliasof
,
Eldad Haber
,
Eran Treister
, Carola-Bibiane Schönlieb
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
ECAI 2024 ·
Moshe Eliasof
,
Davide Murari
,
Ferdia Sherry
, Carola-Bibiane Schönlieb
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
MICCAI 2024 ·
Ruodan Yan
, Carola-Bibiane Schönlieb,
Chao Li
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
ACM MM 2024 ·
Lihao Liu
,
Yanqi Cheng
,
Zhongying Deng
,
Shujun Wang
,
Dongdong Chen
,
Xiaowei Hu
,
Pietro Liò
, Carola-Bibiane Schönlieb,
Angelica I. Avilés-Rivero
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
ICML 2024 ·
Zakhar Shumaylov
,
Jeremy Budd
,
Subhadip Mukherjee
, Carola-Bibiane Schönlieb