Zobrazeno 1 - 10
of 11 342
pro vyhledávání: '"Kavitha A P"'
Autor:
Agliardi, Gabriele, Cortiana, Giorgio, Dekusar, Anton, Ghosh, Kumar, Mohseni, Naeimeh, O'Meara, Corey, Valls, Víctor, Yogaraj, Kavitha, Zhuk, Sergiy
Fidelity quantum kernels have shown promise in classification tasks, particularly when a group structure in the data can be identified and exploited through a covariant feature map. In fact, there exist classification problems on which covariant kern
Externí odkaz:
http://arxiv.org/abs/2412.07915
In this paper, we introduce a novel equilibrium concept, called the equilibrium cycle, which seeks to capture the outcome of oscillatory game dynamics. Unlike the (pure) Nash equilibrium, which defines a fixed point of mutual best responses, an equil
Externí odkaz:
http://arxiv.org/abs/2411.08471
Autor:
Chandrasekar, Kavitha, Kale, Laxmikant
Message aggregation is often used with a goal to reduce communication cost in HPC applications. The difference in the order of overhead of sending a message and cost of per byte transferred motivates the need for message aggregation, for several irre
Externí odkaz:
http://arxiv.org/abs/2411.03533
Autor:
Kavitha, Telikepalli, Makino, Kazuhisa
We consider a matching problem in a bipartite graph $G$ where every vertex has a capacity and a strict preference order on its neighbors. Furthermore, there is a cost function on the edge set. We assume $G$ admits a perfect matching, i.e., one that f
Externí odkaz:
http://arxiv.org/abs/2411.00384
Autor:
Sultana, Riya, Kavitha, Veeraruna
This paper investigates the potential benefits of cooperation in scenarios where finitely many agents compete for shared resources, leading to congestion and thereby reduced rewards. By appropriate coordination the members of the cooperating group (a
Externí odkaz:
http://arxiv.org/abs/2410.06797
There is an increasing body of work using Large Language Models (LLMs) as agents for orchestrating workflows and making decisions in domains that require planning and multi-step reasoning. As a result, it is imperative to evaluate LLMs on core skills
Externí odkaz:
http://arxiv.org/abs/2410.05669
Planning remains one of the last standing bastions for large language models (LLMs), which now turn their attention to search. Most of the literature uses the language models as world models to define the search space, forgoing soundness for the sake
Externí odkaz:
http://arxiv.org/abs/2408.11326
Autor:
Agliardi, Gabriele, Cortiana, Giorgio, Dekusar, Anton, Ghosh, Kumar, Mohseni, Naeimeh, O'Meara, Corey, Valls, Víctor, Yogaraj, Kavitha, Zhuk, Sergiy
Electric Vehicles (EVs) are emerging as battery energy storage systems (BESSs) of increasing importance for different power grid services. However, the unique characteristics of EVs makes them more difficult to operate than dedicated BESSs. In this w
Externí odkaz:
http://arxiv.org/abs/2407.20802
Autor:
Khatiwada, Aamod, Kokel, Harsha, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dolby, Julian, Hassanzadeh, Oktie, Huang, Zhenhan, Pedapati, Tejaswini, Samulowitz, Horst, Srinivas, Kavitha
Enterprises have a growing need to identify relevant tables in data lakes; e.g. tables that are unionable, joinable, or subsets of each other. Tabular neural models can be helpful for such data discovery tasks. In this paper, we present TabSketchFM,
Externí odkaz:
http://arxiv.org/abs/2407.01619
Autor:
Munson, Karl, Ting, Chih-Kai, Wade, Serenity, Savla, Anish, Dolby, Julian, Kate, Kiran, Srinivas, Kavitha
Like text, programs have styles, and certain programming styles are more desirable than others for program readability, maintainability, and performance. Code style transfer, however, is difficult to automate except for trivial style guidelines such
Externí odkaz:
http://arxiv.org/abs/2406.10320