Zobrazeno 1 - 10
of 150 395
pro vyhledávání: '"Kiran AS"'
Publikováno v:
Tetrahedron Chem, Vol 12, Iss , Pp 100104- (2024)
A novel palladium(II) catalyzed C–H annulation strategy has been developed for the synthesis of a diverse range of furo[3′,4':5,6]pyrido[3,4-b]indole-1,5(3H)-dione scaffolds. This is the first report on the construction of polycyclic carboline fr
Externí odkaz:
https://doaj.org/article/3744da7bc451470ab26957fd9a458fc6
Autor:
Thekumparampil, Kiran Koshy, Hiranandani, Gaurush, Kalantari, Kousha, Sabach, Shoham, Kveton, Branislav
We study learning of human preferences from a limited comparison feedback. This task is ubiquitous in machine learning. Its applications such as reinforcement learning from human feedback, have been transformational. We formulate this problem as lear
Externí odkaz:
http://arxiv.org/abs/2412.19396
Self-supervised learning (SSL) has revolutionized learning from large-scale unlabeled datasets, yet the intrinsic relationship between pretraining data and the learned representations remains poorly understood. Traditional supervised learning benefit
Externí odkaz:
http://arxiv.org/abs/2412.17170
Autor:
Srivastava, Kushagra, Kancharla, Damodar Datta, Tahereen, Rizvi, Ramancharla, Pradeep Kumar, Sarvadevabhatla, Ravi Kiran, Kandath, Harikumar
Crack segmentation plays a crucial role in ensuring the structural integrity and seismic safety of civil structures. However, existing crack segmentation algorithms encounter challenges in maintaining accuracy with domain shifts across datasets. To a
Externí odkaz:
http://arxiv.org/abs/2412.15637
Autor:
Arango-Piñeros, Santiago, Chara, María, Hamakiotes, Asimina S., Kedlaya, Kiran S., Rama, Gustavo
We establish bounds on a finite separable extension of function fields in terms of the relative class number, thus reducing the problem of classifying extensions with a fixed relative class number to a finite computation. We also solve the relative c
Externí odkaz:
http://arxiv.org/abs/2412.12467
Autor:
Kethineni, Kiran K., Mohanty, Saraju P., Kougianos, Elias, Bhowmick, Sanjukta, Rachakonda, Laavanya
To efficiently manage plant diseases, Agriculture Cyber-Physical Systems (A-CPS) have been developed to detect and localize disease infestations by integrating the Internet of Agro-Things (IoAT). By the nature of plant and pathogen interactions, the
Externí odkaz:
http://arxiv.org/abs/2412.12176
High-dimensional quantum entanglement in photons offers notable technological advancements over traditional qubit-based systems, including increased information density and enhanced security. However, such high-dimensional states are vulnerable to di
Externí odkaz:
http://arxiv.org/abs/2412.09268
Image retrieval methods rely on metric learning to train backbone feature extraction models that can extract discriminant queries and reference (gallery) feature representations for similarity matching. Although state-of-the-art accuracy has improved
Externí odkaz:
http://arxiv.org/abs/2412.08618
Autor:
Knickerbocker, John, Heroux, Jean Benoit, Bonilla, Griselda, Hsu, Hsiang, Liu, Neng, Ramos, Adrian Paz, Arguin, Francois, Tribodeau, Yan, Terjani, Badr, Schultz, Mark, Ganti, Raghu Kiran, Chu, Linsong, Marushima, Chinami, Taira, Yoichi, Kohara, Sayuri, Horibe, Akihiro, Mori, Hiroyuki, Numata, Hidetoshi
We report on the successful design and fabrication of optical modules using a 50 micron pitch polymer waveguide interface, integrated for low loss, high density optical data transfer with very low space requirements on a Si photonics die. This protot
Externí odkaz:
http://arxiv.org/abs/2412.06570
With Large Language Models (LLMs) recently demonstrating impressive proficiency in code generation, it is promising to extend their abilities to Hardware Description Language (HDL). However, LLMs tend to generate single HDL code blocks rather than hi
Externí odkaz:
http://arxiv.org/abs/2412.05393