Zobrazeno 1 - 10
of 23 956
pro vyhledávání: '"Tamir, A"'
Dynamic Magnetic Resonance Imaging (MRI) is a crucial non-invasive method used to capture the movement of internal organs and tissues, making it a key tool for medical diagnosis. However, dynamic MRI faces a major challenge: long acquisition times ne
Externí odkaz:
http://arxiv.org/abs/2409.12777
Confirmation bias, the tendency to interpret information in a way that aligns with one's preconceptions, can profoundly impact scientific research, leading to conclusions that reflect the researcher's hypotheses even when the observational data do no
Externí odkaz:
http://arxiv.org/abs/2408.09718
``Einstein from noise" (EfN) is a prominent example of the model bias phenomenon: systematic errors in the statistical model that lead to erroneous but consistent estimates. In the EfN experiment, one falsely believes that a set of observations conta
Externí odkaz:
http://arxiv.org/abs/2407.05277
Implicit Neural Representations (INRs) are a learning-based approach to accelerate Magnetic Resonance Imaging (MRI) acquisitions, particularly in scan-specific settings when only data from the under-sampled scan itself are available. Previous work de
Externí odkaz:
http://arxiv.org/abs/2406.13895
Autor:
Indelman, Hedda Cohen, Hazan, Tamir
The Gumbel-Softmax probability distribution allows learning discrete tokens in generative learning, while the Gumbel-Argmax probability distribution is useful in learning discrete structures in discriminative learning. Despite the efforts invested in
Externí odkaz:
http://arxiv.org/abs/2406.02180
Autor:
Tamir, Ella, Solin, Arno
Learning dynamical systems from sparse observations is critical in numerous fields, including biology, finance, and physics. Even if tackling such problems is standard in general information fusion, it remains challenging for contemporary machine lea
Externí odkaz:
http://arxiv.org/abs/2406.00561
We introduce IsraParlTweet, a new linked corpus of Hebrew-language parliamentary discussions from the Knesset (Israeli Parliament) between the years 1992-2023 and Twitter posts made by Members of the Knesset between the years 2008-2023, containing a
Externí odkaz:
http://arxiv.org/abs/2405.20269
Semi-algebraic priors are ubiquitous in signal processing and machine learning. Prevalent examples include a) linear models where the signal lies in a low-dimensional subspace; b) sparse models where the signal can be represented by only a few coeffi
Externí odkaz:
http://arxiv.org/abs/2405.04354
Autor:
Eldar, Amitay, Waknin, Keren Mor, Davenport, Samuel, Bendory, Tamir, Schwartzman, Armin, Shkolnisky, Yoel
Detecting multiple unknown objects in noisy data is a key problem in many scientific fields, such as electron microscopy imaging. A common model for the unknown objects is the linear subspace model, which assumes that the objects can be expanded in s
Externí odkaz:
http://arxiv.org/abs/2405.00364
We study the relaxation process of two driven colloidal suspensions in diffusive contact to a steady state, similar to thermalization. We start by studying a single suspension, subjecting it to random driving forces via holographic optical tweezers,
Externí odkaz:
http://arxiv.org/abs/2404.12929