Zobrazeno 1 - 10
of 2 829
pro vyhledávání: '"P. Pasricha"'
This study is the first to explore the application of a time-series foundation model for VaR estimation. Foundation models, pre-trained on vast and varied datasets, can be used in a zero-shot setting with relatively minimal data or further improved t
Externí odkaz:
http://arxiv.org/abs/2410.11773
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
Function-as-a-Service (FaaS) is a growing cloud computing paradigm that is expected to reduce the user cost of service over traditional serverful approaches. However, the environmental impact of FaaS has not received much attention. We investigate Fa
Externí odkaz:
http://arxiv.org/abs/2410.11875
Autor:
Khan, Kamil, Pasricha, Sudeep
In emerging high-performance Network-on-Chip (NoC) architectures, efficient power management is crucial to minimize energy consumption. We propose a novel framework called CAFEEN that employs both heuristic-based fine-grained and machine learning-bas
Externí odkaz:
http://arxiv.org/abs/2410.07426
Autor:
Briscoe-Martinez, Gilberto, Pasricha, Anuj, Abderezaei, Ava, Chaganti, Santosh, Vajrala, Sarath Chandra, Popuri, Sri Kanth, Roncone, Alessandro
This work explores non-prehensile manipulation (NPM) and whole-body interaction as strategies for enabling robotic manipulators to conduct manipulation tasks despite experiencing locked multi-joint (LMJ) failures. LMJs are critical system faults wher
Externí odkaz:
http://arxiv.org/abs/2410.01102
Autor:
Pasricha, Anuj, Roncone, Alessandro
Motion planning for articulated robots has traditionally been governed by algorithms that operate within manufacturer-defined payload limits. Our empirical analysis of the Franka Emika Panda robot demonstrates that this approach unnecessarily restric
Externí odkaz:
http://arxiv.org/abs/2409.18939
Serverless computing is an emerging cloud computing paradigm that can reduce costs for cloud providers and their customers. However, serverless cloud platforms have stringent performance requirements (due to the need to execute short duration functio
Externí odkaz:
http://arxiv.org/abs/2409.00550
Autor:
Pasricha, Sudeep
Indoor navigation is a foundational technology to assist the tracking and localization of humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of penetration of GPS signals in buildings, subterranean locales, and dense ur
Externí odkaz:
http://arxiv.org/abs/2408.04797
In this work, we present a novel algorithm to perform spill-free handling of open-top liquid-filled containers that operates in cluttered environments. By allowing liquid-filled containers to be tilted at higher angles and enabling motion along all a
Externí odkaz:
http://arxiv.org/abs/2408.00215
Autor:
Pasricha, Sudeep
Emerging artificial intelligence applications across the domains of computer vision, natural language processing, graph processing, and sequence prediction increasingly rely on deep neural networks (DNNs). These DNNs require significant compute and m
Externí odkaz:
http://arxiv.org/abs/2407.21184