Carola-Bibiane Schnlieb
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
14
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. | Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schnlieb |
| 2025 | AAAI | Learning Regularization for Graph Inverse Problems. | Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schnlieb, Eldad Haber |
| 2025 | AAAI | On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. | Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | AAAI | Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. | Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schnlieb, Yuyan Chen, Angelica I. Avils-Rivero |
| 2025 | CVPR | DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. | Krishna Sri Ipsit Mantri, Carola-Bibiane Schnlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof |
| 2025 | CVPR | Training Data Reconstruction: Privacy due to Uncertainty? | Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schnlieb, Michael Moeller |
| 2025 | ICASSP | Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems. | Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schnlieb |
| 2025 | ICLR | Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement. | Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schnlieb, Sarah A. Teichmann |
| 2025 | ICLR | Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. | Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schnlieb |
| 2025 | ICML | Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows. | Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schnlieb |
| 2025 | ICML | Graph Adaptive Autoregressive Moving Average Models. | Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | ICML | G-Adaptivity: optimised graph-based mesh relocation for finite element methods. | James Rowbottom, Georg Maierhofer, Teo Deveney, Eike Hermann Mller, Alberto Paganini, Katharina Schratz, Pietro Lio, Carola-Bibiane Schnlieb, Chris J. Budd |
| 2025 | MICCAI | Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. | Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2024 | AISTATS | On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schnlieb |
| 2024 | ECAI | Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. | Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schnlieb |
| 2024 | ICML | HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. | Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2024 | ICML | Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. | Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schnlieb |
| 2024 | ICML | Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. | Jan Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schnlieb |
| 2024 | MICCAI | Spatiotemporal Graph Neural Network Modelling Perfusion MRI. | Ruodan Yan, Carola-Bibiane Schnlieb, Chao Li |
| 2024 | MICCAI | Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. | Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2023 | CVPR | SCOTCH and SODA: A Transformer Video Shadow Detection Framework. | Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Li, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2023 | ICASSP | Robust Data-Driven Accelerated Mirror Descent. | Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schnlieb |
| 2023 | MICCAI | CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? | Jiahao Huang, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb, Guang Yang |
| 2023 | MICCAI | G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. | Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schnlieb, Xi Chen |
| 2023 | MICCAI | DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. | Yijun Yang, Huazhu Fu, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb, Lei Zhu |
| 2022 | BMVC | Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. | Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schnlieb, Chao Li |
| 2022 | ECCV | Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. | Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schnlieb, Wei Feng, Song Wang |
| 2022 | ICASSP | Stylegan-Induced Data-Driven Regularization for Inverse Problems. | Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schnlieb |
| 2022 | MICCAI | Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. | Angelica I. Avils-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schnlieb |
| 2022 | MICCAI | Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. | Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schnlieb, Lequan Yu |
| 2022 | WACV | HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. | Hankui Peng, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb |
| 2021 | MICCAI | BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. | Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schnlieb |
| 2020 | ECCV | Learning to Segment Microscopy Images with Lazy Labels. | Rihuan Ke, Aurlie Bugeau, Nicolas Papadakis, Peter Schtz, Carola-Bibiane Schnlieb |
| 2020 | ICML | Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. | Kaixuan Wei, Angelica I. Avils-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schnlieb, Hua Huang |
| 2019 | IGARSS | Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. | Philip Sellars, Angelica I. Avils-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schnlieb |
| 2019 | MICCAI | GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. | Angelica I. Avils-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schnlieb |
| 2019 | MICCAI | GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions. | Pan Liu, Chao Li, Carola-Bibiane Schnlieb |
| 2018 | ICIP | Peekaboo-Where are the Objects? Structure Adjusting Superpixels. | Georg Maierhofer, Daniel Heydecker, Angelica I. Avils-Rivero, Samar M. Alsaleh, Carola-Bibiane Schnlieb |
| 2016 | ICPR | A DBN-crf for spectral-spatial classification of hyperspectral data. | Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schnlieb |
| 2015 | IGARSS | Mapping individual trees from airborne multi-sensor imagery. | Juheon Lee, Xiaohao Cai, Carola-Bibiane Schnlieb, David Coomes |