Zobrazeno 1 - 10
of 8 420
pro vyhledávání: '"A. Ansón"'
Causal structures play a central role in world models that flexibly adapt to changes in the environment. While recent works motivate the benefits of discovering local causal graphs for dynamics modelling, in this work we demonstrate that accurately c
Externí odkaz:
http://arxiv.org/abs/2411.06890
Autor:
Glazer, Elliot, Erdil, Ege, Besiroglu, Tamay, Chicharro, Diego, Chen, Evan, Gunning, Alex, Olsson, Caroline Falkman, Denain, Jean-Stanislas, Ho, Anson, Santos, Emily de Oliveira, Järviniemi, Olli, Barnett, Matthew, Sandler, Robert, Vrzala, Matej, Sevilla, Jaime, Ren, Qiuyu, Pratt, Elizabeth, Levine, Lionel, Barkley, Grant, Stewart, Natalie, Grechuk, Bogdan, Grechuk, Tetiana, Enugandla, Shreepranav Varma, Wildon, Mark
We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most major branches of modern mathematics -- from computationally intensiv
Externí odkaz:
http://arxiv.org/abs/2411.04872
We present an application of unsupervised learning for zero-bias detection of rare particle decays and exotic hadrons in low-background environments such as those characteristic of diffractive events and ultraperipheral pp, p--A, or A--A collisions a
Externí odkaz:
http://arxiv.org/abs/2411.00903
We discuss relaxation solutions to the dark matter - baryon coincidence problem in the context of QCD axion dark matter. In relaxation solutions, a moduli dynamically adjusts the mass of dark matter and baryons until their energy densities are $\math
Externí odkaz:
http://arxiv.org/abs/2410.22412
Offline-to-online reinforcement learning (O2O RL) aims to obtain a continually improving policy as it interacts with the environment, while ensuring the initial behaviour is satisficing. This satisficing behaviour is necessary for robotic manipulatio
Externí odkaz:
http://arxiv.org/abs/2410.14957
The increasing data rates in modern high-energy physics experiments such as ALICE at the LHC and the upcoming ePIC experiment at the Electron-Ion Collider (EIC) present significant challenges in real-time event selection and data storage. This paper
Externí odkaz:
http://arxiv.org/abs/2410.06983
Recent work developed convolutional deep kernel machines, achieving 92.7% test accuracy on CIFAR-10 using a ResNet-inspired architecture, which is SOTA for kernel methods. However, this still lags behind neural networks, which easily achieve over 94%
Externí odkaz:
http://arxiv.org/abs/2410.06171
Autor:
Cheong, Patrick Chi-Kit, Tsokaros, Antonios, Ruiz, Milton, Venturi, Fabrizio, Chan, Juno Chun Lung, Yip, Anson Ka Long, Uryu, Koji
We present the first general-relativistic resistive magnetohydrodynamics simulations of self-consistent, rotating neutron stars with mixed poloidal and toroidal magnetic fields. Specifically, we investigate the role of resistivity in the dynamical ev
Externí odkaz:
http://arxiv.org/abs/2409.10508
Autor:
Hook, Anson, Ristow, Clayton
We study (multi) fermion - monopole bound states, many of which are the states that dyons adiabatically transition into as fermions become light. The properties of these bound states depend critically on the UV symmetries preserved by the fermion mas
Externí odkaz:
http://arxiv.org/abs/2409.07549
Autor:
Verbas, Omer, Cokyasar, Taner, Joyce-Johnson, Seamus, Wainwright, Scott, Coates, Maeve, Rousseau, Aymeric, Aloisi, Jim, Stewart, Anson, Auld, Joshua
Transit is essential for urban transportation and achieving net-zero targets. In urban areas like the Chicago Metropolitan Region, transit enhances mobility and connects people, fostering a dynamic economy. To quantify the mobility and selected econo
Externí odkaz:
http://arxiv.org/abs/2409.04568