Zobrazeno 1 - 10
of 8 830
pro vyhledávání: '"A. Dandekar"'
In this study, we apply two pillars of Scientific Machine Learning: Neural Ordinary Differential Equations (Neural ODEs) and Universal Differential Equations (UDEs) to the Lotka Volterra Predator Prey Model, a fundamental ecological model describing
Externí odkaz:
http://arxiv.org/abs/2411.06858
In this study, we apply two pillars of Scientific Machine Learning: Neural Ordinary Differential Equations (Neural ODEs) and Universal Differential Equations (UDEs) to the Chandrasekhar White Dwarf Equation (CWDE). The CWDE is fundamental for underst
Externí odkaz:
http://arxiv.org/abs/2410.14998
Carbon emissions are rising at an alarming rate, posing a significant threat to global efforts to mitigate climate change. Electric vehicles have emerged as a promising solution, but their reliance on lithium-ion batteries introduces the critical cha
Externí odkaz:
http://arxiv.org/abs/2410.14347
In climate science, models for global warming and weather prediction face significant challenges due to the limited availability of high-quality data and the difficulty in obtaining it, making data efficiency crucial. In the past few years, Scientifi
Externí odkaz:
http://arxiv.org/abs/2410.06452
With the rapid advancement of machine translation research, evaluation toolkits have become essential for benchmarking system progress. Tools like COMET and SacreBLEU offer single quality score assessments that are effective for pairwise system compa
Externí odkaz:
http://arxiv.org/abs/2410.10861
Autor:
Dawson, Fiifi, Mosunmola, Zainab, Pocker, Sahil, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath
Although LLMs have been extremely effective in a large number of complex tasks, their understanding and functionality for regional languages and cultures are not well studied. In this paper, we explore the ability of various LLMs to comprehend the cu
Externí odkaz:
http://arxiv.org/abs/2410.01811
Autor:
Joshi, Prathamesh Dinesh, Pocker, Sahil, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath
As LLMs become increasingly proficient at producing human-like responses, there has been a rise of academic and industrial pursuits dedicated to flagging a given piece of text as "human" or "AI". Most of these pursuits involve modern NLP detectors li
Externí odkaz:
http://arxiv.org/abs/2409.04808
We study large fluctuations of the current in a Dyson gas, a 1D system of particles interacting through a logarithmic potential and subjected to random noise. We adapt the macroscopic fluctuation theory to the Dyson gas and derive two coupled partial
Externí odkaz:
http://arxiv.org/abs/2409.06881
Simultaneous speech translation (SST) takes streaming speech input and generates text translation on the fly. Existing methods either have high latency due to recomputation of input representations, or fall behind of offline ST in translation quality
Externí odkaz:
http://arxiv.org/abs/2408.09430
Autor:
Rana Salihoglu, Johannes Balkenhol, Gudrun Dandekar, Chunguang Liang, Thomas Dandekar, Elena Bencurova
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1376-1386 (2024)
Identifying potential cancer-associated genes and drug targets from omics data is challenging due to its diverse sources and analyses, requiring advanced skills and large amounts of time. To facilitate such analysis, we developed Cat-E (Cancer Target
Externí odkaz:
https://doaj.org/article/8b8f4fd859e5401eb4f9f8b46ace1132
