Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Samek Wojciech"'
Autor:
Hansmann Martin-Leo, Klauschen Frederick, Samek Wojciech, Müller Klaus-Robert, Donnadieu Emmanuel, Scharf Sonja, Hartmann Sylvia, Koch Ina, Ackermann Jörg, Pantanowitz Liron, Schäfer Hendrik, Wurzel Patrick
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100298- (2023)
In recent years, medical disciplines have moved closer together and rigid borders have been increasingly dissolved. The synergetic advantage of combining multiple disciplines is particularly important for radiology, nuclear medicine, and pathology to
Externí odkaz:
https://doaj.org/article/ac8621038fe94564b564579214dd5f00
Deep learning is an emerging field revolutionizing various industries, including natural language processing, computer vision, and many more. These domains typically require an extensive amount of data for optimal performance, potentially utilizing h
Externí odkaz:
http://arxiv.org/abs/2411.01240
We incorporate prior graph topology information into a Neural Controlled Differential Equation (NCDE) to predict the future states of a dynamical system defined on a graph. The informed NCDE infers the future dynamics at the vertices of simulated adv
Externí odkaz:
http://arxiv.org/abs/2410.19673
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:
Mekala, Rohan Reddy, Pahde, Frederik, Baur, Simon, Chandrashekar, Sneha, Diep, Madeline, Wenzel, Markus, Wisotzky, Eric L., Yolcu, Galip Ümit, Lapuschkin, Sebastian, Ma, Jackie, Eisert, Peter, Lindvall, Mikael, Porter, Adam, Samek, Wojciech
In the realm of dermatological diagnoses, where the analysis of dermatoscopic and microscopic skin lesion images is pivotal for the accurate and early detection of various medical conditions, the costs associated with creating diverse and high-qualit
Externí odkaz:
http://arxiv.org/abs/2410.05114
Power grids serve as a vital component in numerous industries, seamlessly delivering electrical energy to industrial processes and technologies, making their safe and reliable operation indispensable. However, powerlines can be hard to inspect due to
Externí odkaz:
http://arxiv.org/abs/2409.16821
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
Autor:
Kauffmann, Jacob, Dippel, Jonas, Ruff, Lukas, Samek, Wojciech, Müller, Klaus-Robert, Montavon, Grégoire
Unsupervised learning has become an essential building block of AI systems. The representations it produces, e.g. in foundation models, are critical to a wide variety of downstream applications. It is therefore important to carefully examine unsuperv
Externí odkaz:
http://arxiv.org/abs/2408.08041
Heatmaps generated on inputs of image classification networks via explainable AI methods like Grad-CAM and LRP have been observed to resemble segmentations of input images in many cases. Consequently, heatmaps have also been leveraged for achieving w
Externí odkaz:
http://arxiv.org/abs/2407.03009