Zobrazeno 1 - 10
of 17 508
pro vyhledávání: '"Kumar , Arun"'
In this article, we employ physics-informed residual learning (PIRL) and propose a pricing method for European options under a regime-switching framework, where closed-form solutions are not available. We demonstrate that the proposed approach serves
Externí odkaz:
http://arxiv.org/abs/2410.10474
Autor:
Singh, Paridhi, Kumar, Arun
This paper introduces an innovative approach to open world recognition (OWR), where we leverage knowledge acquired from known objects to address the recognition of previously unseen objects. The traditional method of object modeling relies on supervi
Externí odkaz:
http://arxiv.org/abs/2406.15565
Autor:
Kumar, Arun1, Soundararajan, Vivek2, Bapuji, Hari3, Köhler, Tine3, Alcadipani, Rafael4, Morsing, Mette5, Coraiola, Diego M.6
Publikováno v:
Academy of Management Learning & Education. Sep2024, Vol. 23 Issue 3, p379-386. 8p.
Autor:
Kumar, Arun, Schrater, Paul
People aptly exhibit general intelligence behaviors in solving a variety of tasks with flexibility and ability to adapt to novel situations by reusing and applying high-level knowledge acquired over time. But artificial agents are more like specialis
Externí odkaz:
http://arxiv.org/abs/2402.05346
Autor:
Nagrecha, Kabir, Kumar, Arun
In this paper, we propose Saturn, a new data system to improve the efficiency of multi-large-model training (e.g., during model selection/hyperparameter optimization). We first identify three key interconnected systems challenges for users building l
Externí odkaz:
http://arxiv.org/abs/2311.02840