Zobrazeno 1 - 10
of 2 046
pro vyhledávání: '"A. Tirth"'
Autor:
Blunt, Sarah, Wang, Jason Jinfei, Hirsch, Lea, Tejada, Roberto, Nagpal, Vighnesh, Surti, Tirth Dharmesh, Covarrubias, Sofia, McKenna, Thea, Chávez, Rodrigo Ferrer, Llop-Sayson, Jorge, Arora, Mireya, Chavez, Amanda, Cody, Devin, Choudhary, Saanika, Smith, Adam J. R. W., Balmer, William, Stolker, Tomas, Gallamore, Hannah, Ó, Clarissa R. Do, Nielsen, Eric L., De Rosa, Robert J.
orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements. It was developed with the needs of the high-contrast imaging community in mind, and has since also become widely used in
Externí odkaz:
http://arxiv.org/abs/2409.11573
Autor:
Hutin, Hector, Bilous, Pavlo, Ye, Chengzhi, Abdollahi, Sepideh, Cros, Loris, Dvir, Tom, Shah, Tirth, Cohen, Yonatan, Bienfait, Audrey, Marquardt, Florian, Huard, Benjamin
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting challenges. However, experimental implementations are still scarce. In t
Externí odkaz:
http://arxiv.org/abs/2409.05557
Autor:
Majumder, Bodhisattwa Prasad, Surana, Harshit, Agarwal, Dhruv, Mishra, Bhavana Dalvi, Meena, Abhijeetsingh, Prakhar, Aryan, Vora, Tirth, Khot, Tushar, Sabharwal, Ashish, Clark, Peter
Can the rapid advances in code generation, function calling, and data analysis using large language models (LLMs) help automate the search and verification of hypotheses purely from a set of provided datasets? To evaluate this question, we present Di
Externí odkaz:
http://arxiv.org/abs/2407.01725
Autor:
Watson, Matthew, Sreepathihalli, Divyashree Shivakumar, Chollet, Francois, Gorner, Martin, Sodhia, Kiranbir, Sampath, Ramesh, Patel, Tirth, Jin, Haifeng, Kovelamudi, Neel, Rasskin, Gabriel, Saadat, Samaneh, Wood, Luke, Qian, Chen, Bischof, Jonathan, Stenbit, Ian, Sharma, Abheesht, Mishra, Anshuman
We present the Keras domain packages KerasCV and KerasNLP, extensions of the Keras API for Computer Vision and Natural Language Processing workflows, capable of running on either JAX, TensorFlow, or PyTorch. These domain packages are designed to enab
Externí odkaz:
http://arxiv.org/abs/2405.20247
Autor:
Vyas, Tirth Kiranbhai
We have described a novel approach for training tabular data using the TabTransformer model with self-supervised learning. Traditional machine learning models for tabular data, such as GBDT are being widely used though our paper examines the effectiv
Externí odkaz:
http://arxiv.org/abs/2401.15238
Industry practitioners care about small improvements in malware detection accuracy because their models are deployed to hundreds of millions of machines, meaning a 0.1\% change can cause an overwhelming number of false positives. However, academic re
Externí odkaz:
http://arxiv.org/abs/2312.15813
We report on IFU measurements of the host of the radio source 4C+37.11. This massive elliptical contains the only resolved double compact nucleus at pc-scale separation, likely a bound supermassive black hole binary (SMBHB). $i$-band photometry and G
Externí odkaz:
http://arxiv.org/abs/2312.07766
Publikováno v:
in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023 pp. 332-333
In this study, we consider a Gaussian Boson Sampler for solving a Flight Gate Assignment problem. We employ a Variational Quantum Eigensolver approach using the Conditional Value-at-risk cost function. We provide proof of principle by carrying out nu
Externí odkaz:
http://arxiv.org/abs/2312.07235
Autor:
Vahedifard, Farzan, Haghighi, Atieh Sadeghniiat, Dave, Tirth, Tolouei, Mohammad, Zare, Fateme Hoshyar
Artificial Intelligence (AI) has revolutionized various fields, including medicine and mental health support. One promising application is ChatGPT, an advanced conversational AI model that uses deep learning techniques to provide human-like responses
Externí odkaz:
http://arxiv.org/abs/2311.09131
Autor:
Waqar Azeem, Muhammad Khuram Shahzad, Shoukat Hussain, Fahad Azad, Muhammad Jehanzaib Aslam, Vineet Tirth, Hassan Alqahtani, Ali Algahtani, Tawfiq Al-Mughanam, Yew Hoong Wong
Publikováno v:
Materials for Renewable and Sustainable Energy, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract First-principle investigations explore materials science for functional purposes. The physical properties of CsGeCl3 are investigated under pressure in steps of 1.0 GPa. The CASTEP and GGA-PBE technique is used to understand the characterist
Externí odkaz:
https://doaj.org/article/680ee09693a749a780c61ef39fc7c850
