Zobrazeno 1 - 10
of 11 891
pro vyhledávání: '"Regev, A."'
Autor:
Li, Xiner, Zhao, Yulai, Wang, Chenyu, Scalia, Gabriele, Eraslan, Gokcen, Nair, Surag, Biancalani, Tommaso, Regev, Aviv, Levine, Sergey, Uehara, Masatoshi
Diffusion models excel at capturing the natural design spaces of images, molecules, DNA, RNA, and protein sequences. However, rather than merely generating designs that are natural, we often aim to optimize downstream reward functions while preservin
Externí odkaz:
http://arxiv.org/abs/2408.08252
Video generation has drawn significant interest recently, pushing the development of large-scale models capable of producing realistic videos with coherent motion. Due to memory constraints, these models typically generate short video segments that a
Externí odkaz:
http://arxiv.org/abs/2407.15153
The pursuit of high perceptual quality in image restoration has driven the development of revolutionary generative models, capable of producing results often visually indistinguishable from real data. However, as their perceptual quality continues to
Externí odkaz:
http://arxiv.org/abs/2405.16475
Autor:
Belhasin, Omer, Kligvasser, Idan, Leifman, George, Cohen, Regev, Rainaldi, Erin, Cheng, Li-Fang, Verma, Nishant, Varghese, Paul, Rivlin, Ehud, Elad, Michael
Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. ECG sensing is non-invasive and relatively easy to acquire, and yet it i
Externí odkaz:
http://arxiv.org/abs/2405.11566
It is now possible to conduct large scale perturbation screens with complex readout modalities, such as different molecular profiles or high content cell images. While these open the way for systematic dissection of causal cell circuits, integrated s
Externí odkaz:
http://arxiv.org/abs/2405.00838
Autor:
Szulc, Asaf, Regev, Ido
The origin of the transition from asymptotically reversible to asymptotically irreversible response in amorphous solids subject to oscillatory shear is still unknown. It is known that the plastic events that result from shearing always involve locali
Externí odkaz:
http://arxiv.org/abs/2404.15106
Autor:
Varshavsky-Hassid, Miri, Hirsch, Roy, Cohen, Regev, Golany, Tomer, Freedman, Daniel, Rivlin, Ehud
The incorporation of Denoising Diffusion Models (DDMs) in the Text-to-Speech (TTS) domain is rising, providing great value in synthesizing high quality speech. Although they exhibit impressive audio quality, the extent of their semantic capabilities
Externí odkaz:
http://arxiv.org/abs/2402.12423
Early time classification algorithms aim to label a stream of features without processing the full input stream, while maintaining accuracy comparable to that achieved by applying the classifier to the entire input. In this paper, we introduce a stat
Externí odkaz:
http://arxiv.org/abs/2402.00857
Autor:
Lopez, Romain, Huetter, Jan-Christian, Hajiramezanali, Ehsan, Pritchard, Jonathan, Regev, Aviv
Publikováno v:
Causal Learning and Reasoning 2024
Deep Generative Models (DGMs) are versatile tools for learning data representations while adequately incorporating domain knowledge such as the specification of conditional probability distributions. Recently proposed DGMs tackle the important task o
Externí odkaz:
http://arxiv.org/abs/2401.15903
Autor:
Świrydowicz, Kasia, Koukpaizan, Nicholson, Alam, Maksudul, Regev, Shaked, Saunders, Michael, Peleš, Slaven
Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computations. The challenges become even more pronounced on heterogeneous hardware, where traditional sparse numerical linear algebra methods are
Externí odkaz:
http://arxiv.org/abs/2401.13926