Zobrazeno 1 - 10
of 92 778
pro vyhledávání: '"Blanca, A."'
Foundation models (FMs) are a popular topic of research in AI. Their ability to generalize to new tasks and datasets without retraining or needing an abundance of data makes them an appealing candidate for applications on specialist datasets. In this
Externí odkaz:
http://arxiv.org/abs/2409.03754
Autor:
Li, Lei, Smith, Hannah, Lyu, Yilin, Camps, Julia, Rodriguez, Blanca, Banerjee, Abhirup, Grau, Vicente
Cardiac digital twins (CDTs) offer personalized \textit{in-silico} cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requires precise information about the electrode position on the t
Externí odkaz:
http://arxiv.org/abs/2408.13945
Accurate segmentation of anatomical structures and pathological regions in medical images is crucial for diagnosis, treatment planning, and disease monitoring. While the Segment Anything Model (SAM) and its variants have demonstrated impressive inter
Externí odkaz:
http://arxiv.org/abs/2407.12658
Tidal dwarf galaxies (TDGs) form in the debris of galaxy mergers, making them ideal testbeds for investigating star formation in an extreme environment. We present radio continuum EVLA observations spanning 1-2 GHz of the interacting system Arp 94, w
Externí odkaz:
http://arxiv.org/abs/2406.18281
Cardiac digital twins are personalized virtual representations used to understand complex heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart modelling, enabling the derivation of internal electrical activity infor
Externí odkaz:
http://arxiv.org/abs/2406.11445
We employ an ADM deparametrization strategy to discuss the radial canonical formalism of asymptotically AdS$_3$ gravity. It leads to the identification of a radial 'time' before quantization, which is the volume time, canonically conjugate to York ti
Externí odkaz:
http://arxiv.org/abs/2406.02508
We provide a condition on a set of directions $\Omega \subset \mathbb{S}^1$ ensuring that the associated directional maximal operator $M_\Omega$ is unbounded on $L^p(\mathbb{R}^2)$ for every $1 \leq p < \infty$. The techniques of proof extend ideas o
Externí odkaz:
http://arxiv.org/abs/2405.17674
Distance correlation is a novel class of multivariate dependence measure, taking positive values between 0 and 1, and applicable to random vectors of arbitrary dimensions, not necessarily equal. It offers several advantages over the well-known Pearso
Externí odkaz:
http://arxiv.org/abs/2405.01958
A common obstruction to efficient sampling from high-dimensional distributions is the multimodality of the target distribution because Markov chains may get trapped far from stationarity. Still, one hopes that this is only a barrier to the mixing of
Externí odkaz:
http://arxiv.org/abs/2404.13014
Autor:
Shen, Yiqing, Li, Jingxing, Shao, Xinyuan, Romillo, Blanca Inigo, Jindal, Ankush, Dreizin, David, Unberath, Mathias
Segment anything models (SAMs) are gaining attention for their zero-shot generalization capability in segmenting objects of unseen classes and in unseen domains when properly prompted. Interactivity is a key strength of SAMs, allowing users to iterat
Externí odkaz:
http://arxiv.org/abs/2403.09827