Zobrazeno 1 - 10
of 31 010
pro vyhledávání: '"Jacobsen, P"'
In this article we study higher homological properties of $n$-levelled algebras and connect them to properties of the underlying graphs. Notably, to each $2$-representation-finite quadratic monomial algebra $\Lambda$ we associate a bipartite graph $\
Externí odkaz:
http://arxiv.org/abs/2411.00470
Open-weight large language model (LLM) zoos allow users to quickly integrate state-of-the-art models into systems. Despite increasing availability, selecting the most appropriate model for a given task still largely relies on public benchmark leaderb
Externí odkaz:
http://arxiv.org/abs/2411.00889
Autor:
Blaas, Arno, Goliński, Adam, Miller, Andrew, Zappella, Luca, Jacobsen, Jörn-Henrik, Heinze-Deml, Christina
We consider robustness to distribution shifts in the context of diagnostic models in healthcare, where the prediction target $Y$, e.g., the presence of a disease, is causally upstream of the observations $X$, e.g., a biomarker. Distribution shifts ma
Externí odkaz:
http://arxiv.org/abs/2410.19575
We show strong coupling between antiferromagnetic magnons and microwave cavity photons at both high and externally controllable magnon frequencies. Using the fully quantum mechanical path-integral method, we study an antiferromagnetic insulator (AFM)
Externí odkaz:
http://arxiv.org/abs/2410.14780
Two-dimensional (2D) materials, such as transition metal dichalcogenides (TMDCs) in the 2H or 1T crystal phases, are promising (electro)catalyst candidates due to their high surface to volume ratio and composition of low-cost, abundant elements. Whil
Externí odkaz:
http://arxiv.org/abs/2410.06876
Autor:
Twam, Awj, Jacobsen, Megan, Glenn, Rachel, Klopp, Ann, Venkatesan, Aradhana M., Fuentes, David
Cervical cancer remains the fourth most common malignancy amongst women worldwide.1 Concurrent chemoradiotherapy (CRT) serves as the mainstay definitive treatment regimen for locally advanced cervical cancers and includes external beam radiation foll
Externí odkaz:
http://arxiv.org/abs/2409.11456
Graph neural networks (GNNs) are a type of neural network capable of learning on graph-structured data. However, training GNNs on large-scale graphs is challenging due to iterative aggregations of high-dimensional features from neighboring vertices w
Externí odkaz:
http://arxiv.org/abs/2409.11129
Self-supervised speech representation models, particularly those leveraging transformer architectures, have demonstrated remarkable performance across various tasks such as speech recognition, speaker identification, and emotion detection. Recent stu
Externí odkaz:
http://arxiv.org/abs/2409.16302
Autor:
Amare, Rohan, Stolley, Danielle, Parrish, Steve, Jacobsen, Megan, Layman, Rick, Santos, Chimamanda, Riviere, Beatrice, Fowlkes, Natalie, Fuentes, David, Cressman, Erik
Objective: Innovative therapies such as thermoembolization are expected to play an important role in improvising care for patients with diseases such as hepatocellular carcinoma. Thermoembolization is a minimally invasive strategy that combines therm
Externí odkaz:
http://arxiv.org/abs/2409.06811
The optimization of atomic structures plays a pivotal role in understanding and designing materials with desired properties. However, conventional computational methods often struggle with the formidable task of navigating the vast potential energy s
Externí odkaz:
http://arxiv.org/abs/2408.15590