Zobrazeno 1 - 10
of 170 012
pro vyhledávání: '"Tavares, A. A."'
Evidences of vortical effects have been recently found by experiments in heavy ion collisions, instigating new insights into the phase diagram of quantum chromodynamics. Considering the effect of rotations, lattice QCD data shows that the temperature
Externí odkaz:
http://arxiv.org/abs/2412.14541
Ludii is a Java general game system with a considerable number of board games, with an API for developing new agents and a game description language to create new games. To improve versatility and ease development, we provide Python interfaces for ag
Externí odkaz:
http://arxiv.org/abs/2412.14372
We assess the sensitivity of future lepton colliders to weakly coupled vector dark portals (aka ``$ Z' $ bosons'') with masses ranging from tens of GeV to a few TeV. Our analysis focuses on dark photons and $ L_{\mu} - L_{\tau} $ gauge bosons. We con
Externí odkaz:
http://arxiv.org/abs/2412.09681
We consider the following Lane-Emden system with Neumann boundary conditions \[ -\Delta u= |v|^{q-1}v \text{ in } \Omega,\qquad -\Delta v= |u|^{p-1}u \text{ in } \Omega,\qquad \partial_\nu u=\partial_\nu v=0 \text{ on } \partial \Omega, \] where $\Om
Externí odkaz:
http://arxiv.org/abs/2412.09512
Autor:
Mineault, Patrick, Zanichelli, Niccolò, Peng, Joanne Zichen, Arkhipov, Anton, Bingham, Eli, Jara-Ettinger, Julian, Mackevicius, Emily, Marblestone, Adam, Mattar, Marcelo, Payne, Andrew, Sanborn, Sophia, Schroeder, Karen, Tavares, Zenna, Tolias, Andreas
As AI systems become increasingly powerful, the need for safe AI has become more pressing. Humans are an attractive model for AI safety: as the only known agents capable of general intelligence, they perform robustly even under conditions that deviat
Externí odkaz:
http://arxiv.org/abs/2411.18526
Layer pruning offers a promising alternative to standard structured pruning, effectively reducing computational costs, latency, and memory footprint. While notable layer-pruning approaches aim to detect unimportant layers for removal, they often rely
Externí odkaz:
http://arxiv.org/abs/2411.14345
Deep Learning techniques have excelled at generating embedding spaces that capture semantic similarities between items. Often these representations are paired, enabling experiments with analogies (pairs within the same domain) and cross-modality (pai
Externí odkaz:
http://arxiv.org/abs/2411.08687
Autor:
Buen-Abad, Manuel A., Chacko, Zackaria, Flood, Ina, Kilic, Can, Marques-Tavares, Gustavo, Youn, Taewook
We present a new class of interacting dark sector models that can address the Hubble tension. Interacting dark radiation (DR) has previously been put forward as a solution to the problem, but this proposal is disfavored by the high-$\ell$ cosmic micr
Externí odkaz:
http://arxiv.org/abs/2411.08097
Autor:
Willmes, David, Krall, Nick, Tanis, James, Terner, Zachary, Tavares, Fernando, Miller, Chris, Haberlin III, Joe, Crichton, Matt, Schlichting, Alexander
With billions of people facing moderate or severe food insecurity, the resilience of the global food supply will be of increasing concern due to the effects of climate change and geopolitical events. In this paper we describe a framework to better id
Externí odkaz:
http://arxiv.org/abs/2411.05219
Autor:
Li, Wen-Ding, Hu, Keya, Larsen, Carter, Wu, Yuqing, Alford, Simon, Woo, Caleb, Dunn, Spencer M., Tang, Hao, Naim, Michelangelo, Nguyen, Dat, Zheng, Wei-Long, Tavares, Zenna, Pu, Yewen, Ellis, Kevin
When learning an input-output mapping from very few examples, is it better to first infer a latent function that explains the examples, or is it better to directly predict new test outputs, e.g. using a neural network? We study this question on ARC b
Externí odkaz:
http://arxiv.org/abs/2411.02272