Zobrazeno 1 - 10
of 4 116
pro vyhledávání: '"Monga, P."'
We develop a decision making framework to cast the problem of learning a ranking policy for search or recommendation engines in a two-sided e-commerce marketplace as an expected reward optimization problem using observational data. As a value allocat
Externí odkaz:
http://arxiv.org/abs/2410.04568
Autor:
Monga, Munish, Giroh, Sachin Kumar, Jha, Ankit, Singha, Mainak, Banerjee, Biplab, Chanussot, Jocelyn
Multi-Target Domain Adaptation (MTDA) entails learning domain-invariant information from a single source domain and applying it to multiple unlabeled target domains. Yet, existing MTDA methods predominantly focus on addressing domain shifts within vi
Externí odkaz:
http://arxiv.org/abs/2409.00397
Autor:
Monga, Marcello
Automated market makers (AMMs) are a new type of trading venues which are revolutionising the way market participants interact. At present, the majority of AMMs are constant function market makers (CFMMs) where a deterministic trading function determ
Externí odkaz:
http://arxiv.org/abs/2407.16885
This study presents a new computational approach for simulating the microbial decomposition of organic matter, from 3D micro-computed tomography (micro-CT) images of soil. The method employs a valuated graph of connected voxels to simulate transforma
Externí odkaz:
http://arxiv.org/abs/2406.04177
Autor:
You, Bingran, Wu, Qiming, Miron, David, Ke, Wenjun, Monga, Inder, Saglamyurek, Erhan, Haeffner, Hartmut
High-rate remote entanglement between photon and matter-based qubits is essential for distributed quantum information processing. A key technique to increase the modest entangling rates of existing long-distance quantum networking approaches is multi
Externí odkaz:
http://arxiv.org/abs/2405.10501
Antiperovskite nitrides are potential candidates for applications harvesting solar light. With a comprehensive state-of-the-art approach combining hybrid density-functional theory, many-body perturbation theory, the Wannier-Mott model, density-functi
Externí odkaz:
http://arxiv.org/abs/2404.16494
Autor:
Keeler, Cynthia, Monga, Nikhil
In our previous paper (arXiv:2005.04242) we discussed type-D and type-N fluid-dual spacetimes and provided their associated single copies in the context of the Weyl double copy. In this work we extend our analysis to more general fluids thereby requi
Externí odkaz:
http://arxiv.org/abs/2404.03195
In recent years, algorithm unrolling has emerged as a powerful technique for designing interpretable neural networks based on iterative algorithms. Imaging inverse problems have particularly benefited from unrolling-based deep network design since ma
Externí odkaz:
http://arxiv.org/abs/2402.12872
A large class of data questions can be modeled as identifying important slices of data driven by user defined metrics. This paper presents TRACE, a Time-Relational Approximate Cubing Engine that enables interactive analysis on such slices with a low
Externí odkaz:
http://arxiv.org/abs/2401.06336
Partial Differential Equations (PDEs) play a crucial role as tools for modeling and comprehending intricate natural processes, notably within the domain of biology. This research explores the domain of microbial activity within the complex matrix of
Externí odkaz:
http://arxiv.org/abs/2310.02060