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75 papers · 1 filter
HVAdam: A Full-Dimension Adaptive Optimizer
Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu +4
Adaptive optimizers such as Adam have achieved great success in training large-scale models like large language models and diffusion models. However, they often generalize worse th…
The Next Generation Fornax Survey (NGFS).VIII. A Support Vector Machine Approach for Disentangling Globular Clusters from other Sources
Yasna Ordenes-Briceño, Thomas H. Puzia, Paul Eigenthaler +8
Wide-field, multi-band surveys now detect millions of unresolved sources in nearby galaxy clusters, yet separating globular clusters (GCs) from foreground stars and background gala…
Trimming to coexistence: How dispersal strategies should be accounted for in resource management
Elena Braverman, Jenny Lawson
For two resource-sharing species we explore the interplay of harvesting and dispersal strategies, as well as their influence on competition outcomes. Although the extinction of eit…
Higher Josephson harmonics in a tunable double-junction transmon qubit
Ksenia Shagalov, David Feldstein-Bofill, Leo Uhre Jakobsen +11
Tunable Josephson harmonics open new avenues for qubit design. We demonstrate a superconducting circuit element consisting of a tunnel junction in series with a SQUID loop, yieldin…
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
Zahra Mahdavi, Zahra Khodakaramimaghsoud, Hooman Khaloo +4
Large vision-language models (LVLMs) are now central to healthcare applications such as medical visual question answering and imaging report generation. Yet, these models remain vu…
Lesion-Independent Associations Between Thalamic Nuclei Volumes and Information Processing Speed in Multiple Sclerosis
Arshya Pooladi-Darvish, Heather Rosehart, Marina R. Everest +2
Background: Cognitive impairment in multiple sclerosis (MS) is driven by both focal inflammation and compartmentalized neurodegeneration, yet the relative effect of lesion-independ…