Zobrazeno 1 - 10
of 51 757
pro vyhledávání: '"Kim, Jong In"'
Autor:
Kim, Jong-in, Lee, Donghyun
The Boltzmann equation is a fundamental equation in kinetic theory that describes the motion of rarefied gases. In this study, we examine the Boltzmann equation within a $C^1$ bounded domain, subject to a large external potential $\Phi(x)$ and diffus
Externí odkaz:
http://arxiv.org/abs/2409.16814
This report presents a solution for the swing-up and stabilisation tasks of the acrobot and the pendubot, developed for the AI Olympics competition at IROS 2024. Our approach employs the Average-Reward Entropy Advantage Policy Optimization (AR-EAPO),
Externí odkaz:
http://arxiv.org/abs/2409.08938
Autor:
Kim, Jong-Seo, Mueller, Hendrik, Nikonov, Aleksei S., Lu, Ru-Sen, Knollmueller, Jakob, Ensslin, Torsten A., Wielgus, Maciek, Lobanov, Andrei P.
The galaxy M87 is one of the prime targets for high resolution radio imaging pursuing the ringlike shadow of its supermassive black hole, the innermost regions of accretion flow, and the formation of the relativistic jet. However, it remains challeng
Externí odkaz:
http://arxiv.org/abs/2409.00540
Autor:
Kim, Jong Hyun, Jang, Jongseong
The application of machine learning to transcriptomics data has led to significant advances in cancer research. However, the high dimensionality and complexity of RNA sequencing (RNA-seq) data pose significant challenges in pan-cancer studies. This s
Externí odkaz:
http://arxiv.org/abs/2408.07233
Autor:
Choe, Jean Seong Bjorn, Kim, Jong-Kook
Entropy Regularisation is a widely adopted technique that enhances policy optimisation performance and stability. A notable form of entropy regularisation is augmenting the objective with an entropy term, thereby simultaneously optimising the expecte
Externí odkaz:
http://arxiv.org/abs/2407.18143
Autor:
Wang, Qiaochu, de la Torre, Alberto, Rodriguez-Rivera, Jose A., Podlesnyak, Andrey A., Tian, Wei, Aczel, Adam A., Matsuda, Masaaki, Ryan, Philip J., Kim, Jong-Woo, Rau, Jeffrey G., Plumb, Kemp W.
Competing interactions in frustrated magnets can give rise to highly degenerate ground states from which correlated liquid-like states of matter often emerge. The scaling of this degeneracy influences the ultimate ground state, with extensive degener
Externí odkaz:
http://arxiv.org/abs/2407.17559
Autor:
Kim, Jong-Seo, Nikonov, Aleksei S., Roth, Jakob, Ensslin, Torsten A., Janssen, Michael, Arras, Philipp, Mueller, Hendrik, Lobanov, Andrei P.
Publikováno v:
A&A 690, A129 (2024)
Self-calibration methods with the CLEAN algorithm have been widely employed in Very Long Baseline Interferometry (VLBI) data processing in order to correct antenna-based amplitude and phase corruptions present in the data. However, human interaction
Externí odkaz:
http://arxiv.org/abs/2407.14873
Syntactic elements, such as word order and case markers, are fundamental in natural language processing. Recent studies show that syntactic information boosts language model performance and offers clues for people to understand their learning mechani
Externí odkaz:
http://arxiv.org/abs/2407.09184
Non-convex functional constrained optimization problems have gained substantial attention in machine learning and signal processing. This paper develops a new primal-dual algorithm for solving this class of problems. The algorithm is based on a novel
Externí odkaz:
http://arxiv.org/abs/2406.17107
The advances in the Neural Radiance Fields (NeRF) research offer extensive applications in diverse domains, but protecting their copyrights has not yet been researched in depth. Recently, NeRF watermarking has been considered one of the pivotal solut
Externí odkaz:
http://arxiv.org/abs/2405.02066