Zobrazeno 1 - 10
of 12 390
pro vyhledávání: '"A, Margalit"'
Robust estimation of the essential matrix, which encodes the relative position and orientation of two cameras, is a fundamental step in structure from motion pipelines. Recent deep-based methods achieved accurate estimation by using complex network a
Externí odkaz:
http://arxiv.org/abs/2406.17414
Autor:
Patel, Kumar Kshitij, Glasgow, Margalit, Zindari, Ali, Wang, Lingxiao, Stich, Sebastian U., Cheng, Ziheng, Joshi, Nirmit, Srebro, Nathan
Local SGD is a popular optimization method in distributed learning, often outperforming other algorithms in practice, including mini-batch SGD. Despite this success, theoretically proving the dominance of local SGD in settings with reasonable data he
Externí odkaz:
http://arxiv.org/abs/2405.11667
Autor:
Dong, Y., Eftekhari, T., Fong, W., Bhandari, S., Berger, E., Ould-Boukattine, O. S., Hessels, J. W. T., Sridhar, N., Reines, A., Margalit, B., Darling, J., Gordon, A. C., Greene, J. E., Kilpatrick, C. D., Marcote, B., Metzger, B. D., Nimmo, K., Nugent, A. E., Paragi, Z., Williams, P. K. G.
We present 1 - 12 GHz Karl G. Jansky Very Large Array observations of 9 off-nuclear persistent radio sources (PRSs) in nearby (z < 0.055) dwarf galaxies, along with high-resolution European very-long baseline interferometry (VLBI) Network (EVN) obser
Externí odkaz:
http://arxiv.org/abs/2405.00784
In this work, we evolve Assembly code for the CodeGuru competition. The goal is to create a survivor -- an Assembly program that runs the longest in shared memory, by resisting attacks from adversary survivors and finding their weaknesses. For evolvi
Externí odkaz:
http://arxiv.org/abs/2403.19489
Autor:
Shulman, David, Israeli, Assaf, Botnaro, Yael, Margalit, Ori, Tamir, Oved, Naschitz, Shaul, Gamrasni, Dan, Shir, Ofer M., Dattner, Itai
We present an innovative approach leveraging Physics-Guided Neural Networks (PGNNs) for enhancing agricultural quality assessments. Central to our methodology is the application of physics-guided inverse regression, a technique that significantly imp
Externí odkaz:
http://arxiv.org/abs/2403.08653
Autor:
Margalit, Ben, Quataert, Eliot
Synchrotron emission is ubiquitous in explosive astrophysical events -- it is a natural byproduct of shocks formed when matter expelled by the explosion collides with ambient material. This emission is well-observed in various classes of transients,
Externí odkaz:
http://arxiv.org/abs/2403.07048
In 1981, Karp and Sipser proved a law of large numbers for the matching number of a sparse Erd\H{o}s-R\'enyi random graph, in an influential paper pioneering the so-called differential equation method for analysis of random graph processes. Strengthe
Externí odkaz:
http://arxiv.org/abs/2402.05851
Autor:
Caplinger, Noah, Margalit, Dan
We survey the theory of totally symmetric sets, with applications to homomorphisms of symmetric groups, braid groups, linear groups, and mapping class groups.
Comment: 21 pages
Comment: 21 pages
Externí odkaz:
http://arxiv.org/abs/2401.13739
Autor:
Tuckute, Greta, Finzi, Dawn, Margalit, Eshed, Zylberberg, Joel, Chung, SueYeon, Fyshe, Alona, Fedorenko, Evelina, Kriegeskorte, Nikolaus, Yates, Jacob, Grill-Spector, Kalanit, Kar, Kohitij
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no consensus on the most efficient ways to collect data and design experiment
Externí odkaz:
http://arxiv.org/abs/2401.03376
Autor:
Glasgow, Margalit
In this work, we consider the optimization process of minibatch stochastic gradient descent (SGD) on a 2-layer neural network with data separated by a quadratic ground truth function. We prove that with data drawn from the $d$-dimensional Boolean hyp
Externí odkaz:
http://arxiv.org/abs/2309.15111