:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Träuble, Jakob, Hiscox, Lucy, Johnson, Curtis, Schönlieb, Carola-Bibiane, Schierle, Gabriele Kaminski, Aviles-Rivero, Angelica
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.00527
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
by: Deng, Zhongying, et al.
Published: (2025)

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

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

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

Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes
by: Peaslee, Wallace, et al.
Published: (2025)

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

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

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

Proximal Langevin Sampling With Inexact Proximal Mapping
by: Ehrhardt, Matthias J., et al.
Published: (2023)

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)

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

Continuous Learned Primal Dual
by: Runkel, Christina, et al.
Published: (2024)

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

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

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

GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

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

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

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

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

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

Spatiotemporal Graph Neural Network Modelling Perfusion MRI
by: Yan, Ruodan, et al.
Published: (2024)

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 Network Trainability via Persistent Subspace Orthogonality
by: Massucco, Alex, et al.
Published: (2025)

Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
by: Khelifa, Naïl, et al.
Published: (2025)

Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
by: Tang, Junqi, et al.
Published: (2022)