Accepted papers at TMLR

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Le...

Matthew Lowery, John Turnage, Zachary Morrow et al..

Action editor: Andres Masegosa.

openreview.net/forum?id=Q0C4j…

#operators #kernels #operator

AIMing for Standardised Explainability Evaluation in GNNs: A Framework and Case Study on Graph Ke...

Magdalena Proszewska, Siddharth N.

Action editor: Yi Liu.

openreview.net/forum?id=onZkY…

#explanations #explainability #interpretability

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance

Saeed Mohseni-Sehdeh, Walid Saad, Kei Sakaguchi, Tao Yu.

Action editor: Jeremias Sulam.

openreview.net/forum?id=nvw3X…

#denoising #inpainting #diffusion

Pull-to-Outlier & Contrastive Objective-level (POCO) Unlearning: A Framework for Sample and Objec...

Agil Aghasanli, Plamen P Angelov.

Action editor: Rahaf Aljundi.

openreview.net/forum?id=KQxEw…

#unlearning #forgetting #feature

Hierarchical Filtering and Refinement Classification for Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu.

Action editor: Lijun Zhang.

openreview.net/forum?id=7MXra…

#classification #classes #recognizing