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of 3
pro vyhledávání: '"Feistner, Carla"'
A velocity field characterized by chaotic advection induces stretching and folding processes that increase the solute-solvent interface available for diffusion. Identifying chaotic flow fields with optimized mixing enhancement is relevant for applica
Externí odkaz:
http://arxiv.org/abs/2408.05055
Autor:
Sun, Xudong, Feistner, Carla, Gossmann, Alexej, Schwarz, George, Umer, Rao Muhammad, Beer, Lisa, Rockenschaub, Patrick, Shrestha, Rahul Babu, Gruber, Armin, Chen, Nutan, Boushehri, Sayedali Shetab, Buettner, Florian, Marr, Carsten
Poor generalization performance caused by distribution shifts in unseen domains often hinders the trustworthy deployment of deep neural networks. Many domain generalization techniques address this problem by adding a domain invariant regularization l
Externí odkaz:
http://arxiv.org/abs/2403.14356
Autor:
Sun, Xudong, Chen, Nutan, Gossmann, Alexej, Xing, Yu, Feistner, Carla, Dorigatt, Emilio, Drost, Felix, Scarcella, Daniele, Beer, Lisa, Marr, Carsten
We address the online combinatorial choice of weight multipliers for multi-objective optimization of many loss terms parameterized by neural works via a probabilistic graphical model (PGM) for the joint model parameter and multiplier evolution proces
Externí odkaz:
http://arxiv.org/abs/2403.13728