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Alexander Möllers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert Müller

In-Context Multiple Instance Learning

September 08, 2026
https://doi.org/10.48550/arXiv.2606.06458

Binger Chen, Tacettin Emre Bök, Behnood Rasti, Volker Markl, Begüm Demir

Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent

September 08, 2026
https://amor.cms.hu-berlin.de/~chenbing/pdf/ECCV2026.pdf

Robert P. Schiller, Christoph Weisser, Klaus-Robert Müller, Christian Ochsenfeld, Parastoo Semnani

TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction

September 07, 2026
https://doi.org/10.26434/chemrxiv.15008270/v2

Ankur Singha, Jacob Kauffmann, Karl Jansen, Jacob Finkenrath, Vipul Arora, Shinichi Nakajima

Sector-Resolved Flow Sampling for Topologically Frozen Lattice Gauge Theories

September 07, 2026
https://doi.org/10.48550/arXiv.2609.07781

Leila Motamed Jahromi, Lin Yang, Alexander von Lühmann, Dirk Grosenick

Generalized self-calibrating probe approach for CW tissue oximetry

September 07, 2026
https://doi.org/10.1117/1.JBO.31.9.095001

Franciszek Bernat, Dawid Płudowski, Michał Jan Włodarczyk, Luca Longo, Jianlong Zhou, Andreas Holzinger, Riccardo Guidotti, Wojciech Samek, Przemysław Biecek

Modelpedia: A Catalog of Model Findings for the Meta-Science of AI

September 03, 2026
https://doi.org/10.48550/arXiv.2609.01090

Tristan Lazard, Kenza Bouzid, Julius Hense, Shruthi Bannur, Daniel Coelho de Castro, Daniel Shao, Rajesh Jena, Drew Williamson, Stephanie Hyland

Sparse concept attribution for histomorphological hypothesis generation from whole-slide classifiers

September 02, 2026
https://doi.org/10.48550/arXiv.2609.02985

Lennart Behme, Emil Badura, Leonard Geißler, Matthias Böhm, Ziawasch Abedjan, Volker Markl

FedAugment: Table Augmentation Search over Decentralized Data Repositories

August 31, 2026
https://lbeh.me/pdf/FedAugment.pdf

Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer, Marc-Andre Schulz, Nys Tjade Siegel, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sonja Greven, Kerstin Ritter et al.

ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations

August 31, 2026
https://doi.org/10.48550/arXiv.2608.26083