:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Deng, Zhongying, Wang, Haoyu, Huang, Ziyan, Zhang, Lipei, Aviles-Rivero, Angelica I., Liu, Chaoyu, He, Junjun, Kourtzi, Zoe, Schönlieb, Carola-Bibiane
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.00627
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HIBMatch: Hypergraph Information Bottleneck for Semi-supervised Alzheimer's Progression
by: Deng, Zhongying, et al.
Published: (2023)

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
by: Aviles-Rivero, Angelica I., et al.
Published: (2024)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
by: Zhang, Lipei, et al.
Published: (2024)

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
by: Zhang, Lipei, et al.
Published: (2025)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
by: Deng, Zhongying, et al.
Published: (2022)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
by: Bryutkin, Andrey, et al.
Published: (2024)

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
by: Essakine, Amer, et al.
Published: (2024)

You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors
by: Cheng, Yanqi, et al.
Published: (2024)

SpectraKAN: Conditioning Spectral Operators
by: Cheng, Chun-Wun, et al.
Published: (2026)

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
by: Zhang, Yi, et al.
Published: (2024)

Adaptive Correction for Ensuring Conservation Laws in Neural Operators
by: Liu, Chaoyu, et al.
Published: (2025)

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps
by: Träuble, Jakob, et al.
Published: (2024)

Optimised ProPainter for Video Diminished Reality Inpainting
by: Li, Pengze, et al.
Published: (2024)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
by: Kennerley, Mikhail, et al.
Published: (2025)

The Missing U for Efficient Diffusion Models
by: Calvo-Ordonez, Sergio, et al.
Published: (2023)

Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning
by: Zhang, Yi, et al.
Published: (2025)

PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
by: Cheng, Chun-Wun, et al.
Published: (2025)

CATO: Charted Attention for Neural PDE Operators
by: Cheng, Chun-Wun, et al.
Published: (2026)

Single-Shot Plug-and-Play Methods for Inverse Problems
by: Cheng, Yanqi, et al.
Published: (2023)

Inverse Evolution Data Augmentation for Neural PDE Solvers
by: Liu, Chaoyu, et al.
Published: (2025)

Generative Unordered Flow for Set-Structured Data Generation
by: Li, Yangming, et al.
Published: (2025)

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
by: Huang, Chaoyan, et al.
Published: (2024)

Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
by: Cheng, Chun-Wun, et al.
Published: (2024)

Deep Spectral Prior
by: Cheng, Yanqi, et al.
Published: (2025)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
by: Yang, Liutao, et al.
Published: (2024)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
by: Cheng, Chun-Wun, et al.
Published: (2025)

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
by: Zhang, Yi, et al.
Published: (2024)

Adaptive Coordinate Transforms for Neural Operators
by: Liu, Chaoyu, et al.
Published: (2026)

Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks
by: Liu, Chaoyu, et al.
Published: (2023)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
by: Huang, Jiahao, et al.
Published: (2024)

GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting
by: Li, Yangming, et al.
Published: (2025)

Data-driven approaches to inverse problems
by: Schönlieb, Carola-Bibiane, et al.
Published: (2025)

Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
by: Iske, Meira, et al.
Published: (2026)

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
by: Eliasof, Moshe, et al.
Published: (2025)

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
by: Cheng, Chun-Wun, et al.
Published: (2026)

HypeR Adaptivity: Joint $hr$-Adaptive Meshing via Hypergraph Multi-Agent Deep Reinforcement Learning
by: Grillo, Niccolò, et al.
Published: (2025)

Enhancing Fourier Neural Operators with Local Spatial Features
by: Liu, Chaoyu, et al.
Published: (2025)

DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior
by: Cheng, Yanqi, et al.
Published: (2025)

A geometric integration approach to smooth optimisation: Foundations of the discrete gradient method
by: Ehrhardt, Matthias J., et al.
Published: (2018)

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
by: Eliasof, Moshe, et al.
Published: (2023)