Zobrazeno 1 - 10
of 180 841
pro vyhledávání: '"srinivasan, A."'
Autor:
He, Yuntian, Maneriker, Pranav, Srinivasan, Anutam, Vadlamani, Aditya T., Parthasarathy, Srinivasan
Conformal Prediction is a robust framework that ensures reliable coverage across machine learning tasks. Although recent studies have applied conformal prediction to graph neural networks, they have largely emphasized post-hoc prediction set generati
Externí odkaz:
http://arxiv.org/abs/2410.21618
We propose a novel method for measuring the discrepancy between a set of samples and a desired posterior distribution for Bayesian inference. Classical methods for assessing sample quality like the effective sample size are not appropriate for scalab
Externí odkaz:
http://arxiv.org/abs/2412.05135
Autor:
von der Heyde, Benjamin, Srinivasan, Anand, Birwa, Sumit Kumar, von der Heyde, Eva Laura, Höhn, Steph S. M. H., Goldstein, Raymond E., Hallmann, Armin
The evolution of multicellularity involved the transformation of a simple cell wall of unicellular ancestors into a complex, multifunctional extracellular matrix (ECM). A suitable model organism to study the formation and expansion of an ECM during o
Externí odkaz:
http://arxiv.org/abs/2412.05059
Autor:
Zhu, Xiao, Iyengar, Srinivasan S.
Computing high dimensional potential surfaces for molecular and materials systems is considered to be a great challenge in computational chemistry with potential impact in a range of areas including fundamental prediction of reaction rates. In this p
Externí odkaz:
http://arxiv.org/abs/2412.03831
The accurate computational study of wavepacket nuclear dynamics is considered to be a classically intractable problem, particularly with increasing dimensions. Here we present two algorithms that, in conjunction with other methods developed by us, wi
Externí odkaz:
http://arxiv.org/abs/2412.03763
Autor:
Omi, Asif Iftekhar, Farina, Emma, Jiang, Anyu, Khalifa, Adam, Srinivasan, Shriya, Chatterjee, Baibhab
Body-coupled powering (BCP) is an innovative wireless power transfer (WPT) technique, recently explored for its potential to deliver power to cutting-edge biomedical implants such as nerve and muscle stimulators. This paper demonstrates the efficient
Externí odkaz:
http://arxiv.org/abs/2412.03488
This paper analyzes the performance of Small Language Models (SLMs) and Vision Language Models (VLMs) and evaluates the trade-off between model performance and carbon emissions across 4 essential tasks: Image Captioning, Visual Question Answering (VQ
Externí odkaz:
http://arxiv.org/abs/2412.02602
The Ceresa cycle is a canonical algebraic $1$-cycle on the Jacobian of an algebraic curve. We construct an algorithm which, given a curve over a number field, often provides a certificate that the Ceresa cycle is non-torsion, without relying on the p
Externí odkaz:
http://arxiv.org/abs/2412.02015
Autor:
Yang, Guanyi, Murali, Srinivasan
This paper examines the impact of racial discrimination in hiring on employment, wage, and wealth disparities between black and white workers. Using a labor search-and-matching model with racially prejudiced and non-prejudiced firms, we show that lab
Externí odkaz:
http://arxiv.org/abs/2412.00615
As machine learning gets deployed more and more widely, and model sizes continue to grow, improving computational efficiency during model inference has become a key challenge. In many commonly used model architectures, including Transformers, a signi
Externí odkaz:
http://arxiv.org/abs/2412.00408