Zobrazeno 1 - 10
of 31 450
pro vyhledávání: '"Wiegand A"'
Autor:
Bareeva, Dilyara, Yolcu, Galip Ümit, Hedström, Anna, Schmolenski, Niklas, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
In recent years, training data attribution (TDA) methods have emerged as a promising direction for the interpretability of neural networks. While research around TDA is thriving, limited effort has been dedicated to the evaluation of attributions. Si
Externí odkaz:
http://arxiv.org/abs/2410.07158
Autor:
Naujoks, Jonas R., Krasowski, Aleksander, Weckbecker, Moritz, Wiegand, Thomas, Lapuschkin, Sebastian, Samek, Wojciech, Klausen, René P.
Recently, physics-informed neural networks (PINNs) have emerged as a flexible and promising application of deep learning to partial differential equations in the physical sciences. While offering strong performance and competitive inference speeds on
Externí odkaz:
http://arxiv.org/abs/2409.08958
Autor:
Hatefi, Sayed Mohammad Vakilzadeh, Dreyer, Maximilian, Achtibat, Reduan, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
To solve ever more complex problems, Deep Neural Networks are scaled to billions of parameters, leading to huge computational costs. An effective approach to reduce computational requirements and increase efficiency is to prune unnecessary components
Externí odkaz:
http://arxiv.org/abs/2408.12568
Local data attribution (or influence estimation) techniques aim at estimating the impact that individual data points seen during training have on particular predictions of an already trained Machine Learning model during test time. Previous methods e
Externí odkaz:
http://arxiv.org/abs/2402.12118
Autor:
Achtibat, Reduan, Hatefi, Sayed Mohammad Vakilzadeh, Dreyer, Maximilian, Jain, Aakriti, Wiegand, Thomas, Lapuschkin, Sebastian, Samek, Wojciech
Large Language Models are prone to biased predictions and hallucinations, underlining the paramount importance of understanding their model-internal reasoning process. However, achieving faithful attributions for the entirety of a black-box transform
Externí odkaz:
http://arxiv.org/abs/2402.05602
Although event logs are a powerful source to gain insight about the behavior of the underlying business process, existing work primarily focuses on finding patterns in the activity sequences of an event log, while ignoring event attribute data. Event
Externí odkaz:
http://arxiv.org/abs/2312.14571
Autor:
Ilgaz, Fatih, Spetzler, Elizaveta, Wiegand, Patrick, Faupel, Franz, Rieger, Robert, McCord, Jeffrey, Spetzler, Benjamin
Magnetoelastic composites are integral elements of sensors and actuators utilizing magnetostriction for their functionality. Their sensitivity typically scales with the saturation magnetostriction and inversely with magnetic anisotropy. However, this
Externí odkaz:
http://arxiv.org/abs/2312.02903
A module over a ring $R$ is pure projective provided it is isomorphic to a direct summand of a direct sum of finitely presented modules. We develop tools for the classification of pure projective modules over commutative noetherian rings. In particul
Externí odkaz:
http://arxiv.org/abs/2311.05338
Autor:
Weber, Leander, Berend, Jim, Binder, Alexander, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
In this paper, we present Layer-wise Feedback Propagation (LFP), a novel training approach for neural-network-like predictors that utilizes explainability, specifically Layer-wise Relevance Propagation(LRP), to assign rewards to individual connection
Externí odkaz:
http://arxiv.org/abs/2308.12053
Autor:
Julio Aleman, Ravikumar K, Connor Wiegand, Mark E. Schurdak, Lawrence Vernetti, Dillon Gavlock, Celeste Reese, Richard DeBiasio, Greg LaRocca, Yulder Daniel Angarita, Albert Gough, Alejandro Soto-Gutierrez, Jaideep Behari, Vijay K. Yechoor, Mark T. Miedel, Andrew M. Stern, Ipsita Banerjee, D. Lansing Taylor
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Preclinical and clinical studies suggest that lipid-induced hepatic insulin resistance is a primary defect that predisposes to dysfunction in islets, implicating a perturbed liver-pancreas axis underlying the comorbidity of T2DM and MASLD. T
Externí odkaz:
https://doaj.org/article/3786b7dd0e8e47af8bbe42c89dff77b0