Zobrazeno 1 - 10
of 5 140
pro vyhledávání: '"Tadmor A"'
Autor:
Shui, Zeren, Karypis, Petros, Karls, Daniel S., Wen, Mingjian, Manchanda, Saurav, Tadmor, Ellad B., Karypis, George
Citation intention Classification (CIC) tools classify citations by their intention (e.g., background, motivation) and assist readers in evaluating the contribution of scientific literature. Prior research has shown that pretrained language models (P
Externí odkaz:
http://arxiv.org/abs/2410.13332
A basis is derived from elastic plate theory that quantifies equilibrium and dynamic deformation and electron diffraction patterns of twisted bilayer graphene (TBG). The basis is derived by solving in-plane and out-of-plane normal modes of an unforce
Externí odkaz:
http://arxiv.org/abs/2407.18459
Autor:
Agranovich, Alex, Nachmani, Eliya, Rybakov, Oleg, Ding, Yifan, Jia, Ye, Bar, Nadav, Zen, Heiga, Ramanovich, Michelle Tadmor
Simultaneous speech-to-speech translation (S2ST) holds the promise of breaking down communication barriers and enabling fluid conversations across languages. However, achieving accurate, real-time translation through mobile devices remains a major ch
Externí odkaz:
http://arxiv.org/abs/2406.02133
Autor:
Jasperson, Benjamin A., Nikiforov, Ilia, Samanta, Amit, Zhou, Fei, Tadmor, Ellad B., Lordi, Vincenzo, Bulatov, Vasily V.
A simulation can stand its ground against experiment only if its prediction uncertainty is known. The unknown accuracy of interatomic potentials (IPs) is a major source of prediction uncertainty, severely limiting the use of large-scale classical ato
Externí odkaz:
http://arxiv.org/abs/2406.05146
We construct uniformly bounded solutions of the equation $div\, {\mathbf u}=f$ for arbitrary data $f$ in the critical spaces $L^d(\Omega)$, where $\Omega$ is a domain of ${\mathbb R}^d$. This question was addressed by Bourgain & Brezis, [On the equat
Externí odkaz:
http://arxiv.org/abs/2405.12703
We introduce a novel method for non-convex optimization, called Swarm-based Simulated Annealing (SSA), which is at the interface between the swarm-based gradient-descent (SBGD) [J. Lu et. al., ArXiv:2211.17157; E.Tadmor and A. Zenginoglu, Acta Applic
Externí odkaz:
http://arxiv.org/abs/2404.18015
We investigate the critical threshold phenomena in a large class of one dimensional pressureless Euler--Poisson (EP) equations, with non-vanishing background states. First, we establish local-in-time well-posedness in proper regularity spaces, which
Externí odkaz:
http://arxiv.org/abs/2402.12839
Autor:
Tadmor, Eitan
We prove that Runge-Kutta (RK) methods for numerical integration of arbitrarily large systems of Ordinary Differential Equations are linearly stable. Standard stability arguments -- based on spectral analysis, resolvent condition or strong stability,
Externí odkaz:
http://arxiv.org/abs/2312.15546
Autor:
Tadmor, Eitan, Zenginoglu, Anil
We extend our study of the swarm-based gradient descent method for non-convex optimization, [Lu, Tadmor & Zenginoglu, arXiv:2211.17157], to allow random descent directions. We recall that the swarm-based approach consists of a swarm of agents, each i
Externí odkaz:
http://arxiv.org/abs/2307.12441
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Autor:
Segev, Eliya, Alroy, Maya, Katsir, Ronen, Wies, Noam, Shenhav, Ayana, Ben-Oren, Yael, Zar, David, Tadmor, Oren, Bitterman, Jacob, Shashua, Amnon, Rosenwein, Tal
Connectionist Temporal Classification (CTC) is a widely used criterion for training supervised sequence-to-sequence (seq2seq) models. It enables learning the relations between input and output sequences, termed alignments, by marginalizing over perfe
Externí odkaz:
http://arxiv.org/abs/2307.01715