Zobrazeno 1 - 10
of 6 505
pro vyhledávání: '"Tripp, P."'
Bayesian optimization (BO) is a principled approach to molecular design tasks. In this paper we explain three pitfalls of BO which can cause poor empirical performance: an incorrect prior width, over-smoothing, and inadequate acquisition function max
Externí odkaz:
http://arxiv.org/abs/2406.07709
Autor:
Hossain, Soneya Binta, Jiang, Nan, Zhou, Qiang, Li, Xiaopeng, Chiang, Wen-Hao, Lyu, Yingjun, Nguyen, Hoan, Tripp, Omer
Large language models (LLMs) have shown impressive effectiveness in various software engineering tasks, including automated program repair (APR). In this study, we take a deep dive into automated bug fixing utilizing LLMs. In contrast to many deep le
Externí odkaz:
http://arxiv.org/abs/2404.11595
This paper introduces a nonconvex approach to the problem of recovering sparse signals. We propose a novel model, termed the $\tau_2$-model, which utilizes the square of $\ell_1/\ell_2$ norms for sparse recovery. This model is an advancement over the
Externí odkaz:
http://arxiv.org/abs/2404.00764
Autor:
Tripp, Charles Edison, Perr-Sauer, Jordan, Gafur, Jamil, Nag, Amabarish, Purkayastha, Avi, Zisman, Sagi, Bensen, Erik A.
Addressing the so-called ``Red-AI'' trend of rising energy consumption by large-scale neural networks, this study investigates the actual energy consumption, as measured by node-level watt-meters, of training various fully connected neural network ar
Externí odkaz:
http://arxiv.org/abs/2403.08151
Autor:
Siadati, Hossein, Jafarikhah, Sima, Sahin, Elif, Hernandez, Terrence Brent, Tripp, Elijah Lorenzo, Khryashchev, Denis
The Software Supply Chain (SSC) has captured considerable attention from attackers seeking to infiltrate systems and undermine organizations. There is evidence indicating that adversaries utilize Social Engineering (SocE) techniques specifically aime
Externí odkaz:
http://arxiv.org/abs/2402.18401
Autor:
Liu, Weizhe, Veilleux, Sylvain, Canalizo, Gabriela, Tripp, Todd M., Rupke, David S. N., Aravindan, Archana, Bohn, Thomas, Hamann, Fred, Manzano-King, Christina M.
While stellar processes are believed to be the main source of feedback in dwarf galaxies, the accumulating discoveries of AGN in dwarf galaxies over recent years arouse the interest to also consider AGN feedback in them. Fast, AGN-driven outflows, a
Externí odkaz:
http://arxiv.org/abs/2402.11665
Autor:
Shaghaghi, Sahand, Aliasghari, Pourya, Tripp, Bryan, Dautenhahn, Kerstin, Nehaniv, Chrystopher
This abstract explores classroom Human-Robot Interaction (HRI) scenarios with an emphasis on the adaptation of human-inspired social gaze models in robot cognitive architecture to facilitate a more seamless social interaction. First, we detail the HR
Externí odkaz:
http://arxiv.org/abs/2312.06825
Autor:
Hu, Teng, Khaire, Vikram, Hennawi, Joseph F., Tripp, Todd M., Oñorbe, Jose, Walther, Michael, Lukic, Zarija
We perform the first measurement of the thermal and ionization state of the intergalactic medium (IGM) across 0.9 < z < 1.5 using 301 \lya absorption lines fitted from 12 HST STIS quasar spectra, with a total pathlength of \Delta z=2.1. We employ the
Externí odkaz:
http://arxiv.org/abs/2311.17895
Autor:
Lin, Jihao Andreas, Padhy, Shreyas, Antorán, Javier, Tripp, Austin, Terenin, Alexander, Szepesvári, Csaba, Hernández-Lobato, José Miguel, Janz, David
As is well known, both sampling from the posterior and computing the mean of the posterior in Gaussian process regression reduces to solving a large linear system of equations. We study the use of stochastic gradient descent for solving this linear s
Externí odkaz:
http://arxiv.org/abs/2310.20581
Autor:
Maziarz, Krzysztof, Tripp, Austin, Liu, Guoqing, Stanley, Megan, Xie, Shufang, Gaiński, Piotr, Seidl, Philipp, Segler, Marwin
The planning of how to synthesize molecules, also known as retrosynthesis, has been a growing focus of the machine learning and chemistry communities in recent years. Despite the appearance of steady progress, we argue that imperfect benchmarks and i
Externí odkaz:
http://arxiv.org/abs/2310.19796