Zobrazeno 1 - 10
of 4 483
pro vyhledávání: '"P. Jatin"'
Autor:
Thomsen, Joachim Dahl, Saidi, Wissam A., Reidy, Kate, Patil, Jatin J., Lee, Serin, Ross, Frances M., Narang, Prineha
Titanium (Ti) is an adhesion and contact metal commonly used in nanoelectronics and two-dimensional (2D) materials research. However, when Ti is deposited on graphene (Gr), we obtain dramatically different film morphology depending on the experimenta
Externí odkaz:
http://arxiv.org/abs/2412.03480
Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms responsible for performing specific tasks. These circuits are typical
Externí odkaz:
http://arxiv.org/abs/2411.16105
We study the problem of maximizing Nash social welfare, which is the geometric mean of agents' utilities, in two well-known models. The first model involves one-sided preferences, where a set of indivisible items is allocated among a group of agents
Externí odkaz:
http://arxiv.org/abs/2411.14007
We present a novel method for diffusion-guided frameworks for view-consistent super-resolution (SR) in neural rendering. Our approach leverages existing 2D SR models in conjunction with advanced techniques such as Variational Score Distilling (VSD) a
Externí odkaz:
http://arxiv.org/abs/2410.18137
A substantial amount of variability in ECG manifested due to patient characteristics hinders the adoption of automated analysis algorithms in clinical practice. None of the ECG annotators developed till date consider the characteristics of the patien
Externí odkaz:
http://arxiv.org/abs/2410.18985
Machine learning (ML) course for undergraduates face challenges in assessing student learning and providing practical exposure. Group project-based learning, an increasingly popular form of experiential learning in CS education, encounters certain li
Externí odkaz:
http://arxiv.org/abs/2410.16305
Autor:
Atmakuru, Anirudh, Nainani, Jatin, Bheemreddy, Rohith Siddhartha Reddy, Lakkaraju, Anirudh, Yao, Zonghai, Zamani, Hamed, Chang, Haw-Shiuan
Evaluating the creativity of large language models (LLMs) in story writing is difficult because LLM-generated stories could seemingly look creative but be very similar to some existing stories in their huge and proprietary training corpus. To overcom
Externí odkaz:
http://arxiv.org/abs/2410.04197
Cerebral microbleeds, markers of brain damage from vascular and amyloid pathologies, are linked to cognitive decline in aging, but their role in Alzheimer's disease (AD) onset and progression remains unclear. This study aimed to explore whether the p
Externí odkaz:
http://arxiv.org/abs/2410.12809
The objective of this paper is to enhance the optimization process for neural networks by developing a dynamic learning rate algorithm that effectively integrates exponential decay and advanced anti-overfitting strategies. Our primary contribution is
Externí odkaz:
http://arxiv.org/abs/2409.16769
Autor:
Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set. XC algorithms used in real-world applications learn this mapping from datasets curated from implicit feedback, such as user clicks. However
Externí odkaz:
http://arxiv.org/abs/2408.09585