Zobrazeno 1 - 10
of 59 082
pro vyhledávání: '"P A, Curtis"'
Autor:
Bluethgen, Christian, Van Veen, Dave, Zakka, Cyril, Link, Katherine, Fanous, Aaron, Daneshjou, Roxana, Frauenfelder, Thomas, Langlotz, Curtis, Gatidis, Sergios, Chaudhari, Akshay
At the heart of radiological practice is the challenge of integrating complex imaging data with clinical information to produce actionable insights. Nuanced application of language is key for various activities, including managing requests, describin
Externí odkaz:
http://arxiv.org/abs/2412.01233
Rigid multi-link robotic arms face a tradeoff between their overall reach distance (the workspace), and how compactly they can be collapsed (the storage volume). Increasing the workspace of a robot arm requires longer links, which adds weight to the
Externí odkaz:
http://arxiv.org/abs/2412.00268
Autor:
Sengupta, Saptarshi, Curtis, Kristal, Mallipeddi, Akshay, Mathur, Abhinav, Ross, Joseph, Gou, Liang
Extending the capabilities of Large Language Models (LLMs) with functions or tools for environment interaction has led to the emergence of the agent paradigm. In industry, training an LLM is not always feasible because of the scarcity of domain data,
Externí odkaz:
http://arxiv.org/abs/2412.04494
Autor:
Paschali, Magdalini, Chen, Zhihong, Blankemeier, Louis, Varma, Maya, Youssef, Alaa, Bluethgen, Christian, Langlotz, Curtis, Gatidis, Sergios, Chaudhari, Akshay
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models, are trained on
Externí odkaz:
http://arxiv.org/abs/2411.18730
Autor:
Prakash, Eva, Valanarasu, Jeya Maria Jose, Chen, Zhihong, Reis, Eduardo Pontes, Johnston, Andrew, Pareek, Anuj, Bluethgen, Christian, Gatidis, Sergios, Olsen, Cameron, Chaudhari, Akshay, Ng, Andrew, Langlotz, Curtis
Purpose: To explore best-practice approaches for generating synthetic chest X-ray images and augmenting medical imaging datasets to optimize the performance of deep learning models in downstream tasks like classification and segmentation. Materials a
Externí odkaz:
http://arxiv.org/abs/2411.18602
Autor:
McDonald, Curtis, Barron, Andrew R.
This paper presents a Bayesian estimation procedure for single hidden-layer neural networks using $\ell_{1}$ controlled neuron weight vectors. We study the structure of the posterior density that makes it amenable to rapid sampling via Markov Chain M
Externí odkaz:
http://arxiv.org/abs/2411.17667
Autor:
Saxena, Aayush, Cameron, Alex J., Katz, Harley, Bunker, Andrew J., Chevallard, Jacopo, D'Eugenio, Francesco, Arribas, Santiago, Bhatawdekar, Rachana, Boyett, Kristan, Cargile, Phillip A., Carniani, Stefano, Charlot, Stephane, Curti, Mirko, Curtis-Lake, Emma, Hainline, Kevin, Ji, Zhiyuan, Johnson, Benjamin D., Jones, Gareth C., Kumari, Nimisha, Laseter, Isaac, Maseda, Michael V., Robertson, Brant, Simmonds, Charlotte, Tacchella, Sandro, Ubler, Hannah, Williams, Christina C., Willott, Chris, Witstok, Joris, Zhu, Yongda
The UV continuum slope of galaxies, $\beta$, is a powerful diagnostic. Understanding the redshift evolution of $\beta$ and its dependence on key galaxy properties can shed light on the evolution of galaxy physical properties over cosmic time. In this
Externí odkaz:
http://arxiv.org/abs/2411.14532
Autor:
Rinaldi, P., Bonaventura, N., Rieke, G. H., Alberts, S., Caputi, K. I., Baker, W. M., Baum, S., Bhatawdekar, R., Bunker, A. J., Carniani, S., Curtis-Lake, E., D'Eugenio, F., Egami, E., Ji, Z., Hainline, K., Helton, J. M., Lin, X., Lyu, J., Johnson, B. D., Ma, Z., Maiolino, R., Pérez-González, P. G., Rieke, M., Robertson, B. E., Shivaei, I., Stone, M., Sun, Y., Tacchella, S., Übler, H., Williams, C. C., Willmer, C. N. A., Willott, C., Zhang, J., Zhu, Y.
We analyze 99 photometrically selected Little Red Dots (LRDs) at z ~ 4-8 in the GOODS fields, leveraging ultra-deep JADES NIRCam short-wavelength (SW) data. We examine the morphology of 30 LRDs; the remaining 69 are predominantly compact, i.e. are st
Externí odkaz:
http://arxiv.org/abs/2411.14383
We present radial profiles of luminosity-weighted age, $age_L$, and $\Delta \Sigma_{SFR}$ for various populations of high- and low- mass central and satellite galaxies in the TNG100 cosmological simulation. Using these profiles, we investigate the im
Externí odkaz:
http://arxiv.org/abs/2411.13666
Autor:
Liu, Tingting, Giorgi, Salvatore, Aich, Ankit, Lahnala, Allison, Curtis, Brenda, Ungar, Lyle, Sedoc, João
As AI chatbots become more human-like by incorporating empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explored. This study examines how chatbot identity and perce
Externí odkaz:
http://arxiv.org/abs/2411.12877