Zobrazeno 1 - 10
of 33 921
pro vyhledávání: '"Michels BE"'
Autor:
Michels, James, Bandarupalli, Ramya, Akbari, Amin Ahangar, Le, Thai, Xiao, Hong, Li, Jing, Hom, Erik F. Y.
Recent advances in Natural Language Processing (NLP) have ignited interest in developing effective methods for predicting protein-ligand interactions (PLIs) given their relevance to drug discovery and protein engineering efforts and the ever-growing
Externí odkaz:
http://arxiv.org/abs/2409.13057
In Explainable AI (XAI), counterfactual explanations (CEs) are a well-studied method to communicate feature relevance through contrastive reasoning of "what if" to explain AI models' predictions. However, they only focus on important (i.e., relevant)
Externí odkaz:
http://arxiv.org/abs/2408.10528
Autor:
He, Chengan, Sun, Xin, Shu, Zhixin, Luan, Fujun, Pirk, Sören, Herrera, Jorge Alejandro Amador, Michels, Dominik L., Wang, Tuanfeng Y., Zhang, Meng, Rushmeier, Holly, Zhou, Yi
We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle them using a PCA
Externí odkaz:
http://arxiv.org/abs/2407.19451
Traditional assessments of tackling in American Football often only consider the number of tackles made, without adequately accounting for their context and importance for the game. Aiming for improvement, we develop a metric that quantifies the valu
Externí odkaz:
http://arxiv.org/abs/2407.08508
We study theoretically the evaporation-driven phase separation of a binary fluid mixture in a thin film deposited on a moving substrate, as occurs in meniscus-guided deposition for solution-processed materials. Our focus is on rapid substrate motion
Externí odkaz:
http://arxiv.org/abs/2406.19779
Autor:
Robinson, Zachary R., Beckmann, Karsten, Michels, James, Daviero, Vincent, Street, Elizabeth A., Lorenzen, Fiona, Sullivan, Matthew C., Cady, Nathaniel, Kozen, Alexander, Currie, Marc
Significant research has focused on low-power stochastic devices built from memristive materials. These devices foster neuromorphic approaches to computational efficiency enhancement in merged biomimetic and CMOS architectures due to their ability to
Externí odkaz:
http://arxiv.org/abs/2406.13523
We numerically investigate the meniscus-guided coating of a binary fluid mixture containing a solute and a volatile solvent that phase separates via spinodal decomposition. Motivation is the evaporation-driven deposition of material during the fabric
Externí odkaz:
http://arxiv.org/abs/2406.07347
Autor:
Michels, Lisa-Marie, Petkova, Aleksandra, Richter, Marcel, Farley, Andreas, Graziotin, Daniel, Wagner, Stefan
Publikováno v:
IEEE Software (Volume: 41, Issue: 4, July-Aug. 2024), Page(s): 51 - 59
We have conducted a qualitative psychology study to explore the experience of feeling overwhelmed in the realm of software development. Through the candid confessions of two participants who have recently faced overwhelming challenges, we have identi
Externí odkaz:
http://arxiv.org/abs/2406.04057
Deep image clustering methods are typically evaluated on small-scale balanced classification datasets while feature-based $k$-means has been applied on proprietary billion-scale datasets. In this work, we explore the performance of feature-based deep
Externí odkaz:
http://arxiv.org/abs/2406.01203
Autor:
Kuchkin, Vladyslav M., Haller, Andreas, Liščák, Štefan, Adams, Michael P., Rai, Venus, Sinaga, Evelyn P., Michels, Andreas, Schmidt, Thomas L.
A Bloch point represents a three-dimensional hedgehog singularity of a magnetic vector field in which the magnetization vanishes. However, standard micromagnetic theory, developed for magnetic moments of fixed lengths, lacks full applicability in stu
Externí odkaz:
http://arxiv.org/abs/2405.20798