Zobrazeno 1 - 10
of 437
pro vyhledávání: '"P. Nagda"'
We present the first hard-constraint neural network for predicting activity coefficients (HANNA), a thermodynamic mixture property that is the basis for many applications in science and engineering. Unlike traditional neural networks, which ignore ph
Externí odkaz:
http://arxiv.org/abs/2407.18011
We study the complexity of approximating the permanent of a positive semidefinite matrix $A\in \mathbb{C}^{n\times n}$. 1. We design a new approximation algorithm for $\mathrm{per}(A)$ with approximation ratio $e^{(0.9999 + \gamma)n}$, exponentially
Externí odkaz:
http://arxiv.org/abs/2404.10959
Autor:
Olšteins, Dāgs, Nagda, Gunjan, Carrad, Damon J., Beznasyuk, Daria V., Petersen, Christian E. N., Martí-Sánchez, Sara, Arbiol, Jordi, Jespersen, Thomas Sand
New approaches such as selective area growth, where crystal growth is lithographically controlled, allow the integration of bottom-up grown semiconductor nanomaterials in large-scale classical and quantum nanoelectronics. This calls for assessment an
Externí odkaz:
http://arxiv.org/abs/2401.05084
Autor:
Boussard, Julien, Nagda, Chandni, Kaltenborn, Julia, Lange, Charlotte Emilie Elektra, Brouillard, Philippe, Gurwicz, Yaniv, Nowack, Peer, Rolnick, David
Climate models, such as Earth system models (ESMs), are crucial for simulating future climate change based on projected Shared Socioeconomic Pathways (SSP) greenhouse gas emissions scenarios. While ESMs are sophisticated and invaluable, machine learn
Externí odkaz:
http://arxiv.org/abs/2312.02858
Autor:
Kaltenborn, Julia, Lange, Charlotte E. E., Ramesh, Venkatesh, Brouillard, Philippe, Gurwicz, Yaniv, Nagda, Chandni, Runge, Jakob, Nowack, Peer, Rolnick, David
Climate models have been key for assessing the impact of climate change and simulating future climate scenarios. The machine learning (ML) community has taken an increased interest in supporting climate scientists' efforts on various tasks such as cl
Externí odkaz:
http://arxiv.org/abs/2311.03721
There is a lack of quantitative measures to evaluate the progression of topics through time in dynamic topic models (DTMs). Filling this gap, we propose a novel evaluation measure for DTMs that analyzes the changes in the quality of each topic over t
Externí odkaz:
http://arxiv.org/abs/2309.08627
Evaluating Text Style Transfer (TST) is a complex task due to its multifaceted nature. The quality of the generated text is measured based on challenging factors, such as style transfer accuracy, content preservation, and overall fluency. While human
Externí odkaz:
http://arxiv.org/abs/2308.13577
Autor:
Shimaa Ibrahim Amin, Rehab S. Mahdy, Dalia A. El-Shafei, Nagda Elmasry, Hassan Eldawy, Rana MagdyAbdalla, Eman Fouad
Publikováno v:
Middle East Current Psychiatry, Vol 31, Iss 1, Pp 1-8 (2024)
Abstract Background Job burnout is defined as physical, emotional, and mental exhaustion due to persistent work stress, and it includes emotional exhaustion (EE), cynicism (CY), and reduced personal accomplishment (PA) and usually leads to symptoms o
Externí odkaz:
https://doaj.org/article/d8c5e17c7995468aad9f9a5f5a8747d2
Perception towards professionalism among Indian dental educators and residents – A descriptive study
Publikováno v:
Journal of Oral Research and Review, Vol 16, Iss 2, Pp 111-118 (2024)
Background: Lack of professional integrity among dental students can greatly impact the safety of future patients. Currently, there are no established learning outcomes for dental professionalism. Aim: The aim of the study is to assess the perception
Externí odkaz:
https://doaj.org/article/630d4ab672ff43fd9edf1692e9e021d3
Text Style Transfer (TST) evaluation is, in practice, inconsistent. Therefore, we conduct a meta-analysis on human and automated TST evaluation and experimentation that thoroughly examines existing literature in the field. The meta-analysis reveals a
Externí odkaz:
http://arxiv.org/abs/2306.00539