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Luca Dell Amore, Lorenzo Bruno Garavelli, Nicola Gollin, Michele Martone,Paola Rizzoli, Begüm Demir
A Deep Learning Framework for Joint On-Board InSAR Phase Denoising and Compression
Marco Morik, Erick Costa e Silva Talarico, Matheus Cafaro Arouca Sobreira, Luiz Alberto Barbosa de Lima, Shinichi Nakajima
Uncertainty aware pre-stack seismic inversion using probabilistic neural networks
Thomas Fischer, Eike Middell, Shakiba Moradi, Alexander von Lühmann
fNIRSSingle-TrialDecodingImprovesSystematicallyWith 3 HigherOptodeDensity,Model-BasedNoiseRegression,and 4 ImageReconstruction
Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures
Philipp Anders, Marvin Sextro, Katja Lingelbach, Kai Standvoss, Suhas Pandhe, Sandip Ghosh, Cornelius Böhm, Stephan Tietz, Rosemarie Krupar, Lars Tharun et al.
ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes
Tobias Labarta, Maximilian Dreyer, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin
From Attribution to Action: A Human-Centered Application of Activation Steering
Nils Feldhus, Tanja Baeumel, Elena Golimblevskaia, Qianli Wang, Van Bach Nguyen, Aaron Louis Eidt, Selin Kahvecioglu, Christopher Ebert, Wojciech Samek, Jing Yang et al.
Judge Circuits
Jingyi Sun, Qianli Wang, Pepa Atanasova, Nils Feldhus, Isabelle Augenstein
Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
Fatemeh Sarvi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke