Zobrazeno 1 - 10
of 8 900
pro vyhledávání: '"A. Klenk"'
Generative AI is revolutionizing engineering design practices by enabling rapid prototyping and manipulation of designs. One example of design manipulation involves taking two reference design images and using them as prompts to generate a design ima
Externí odkaz:
http://arxiv.org/abs/2412.15507
Autor:
Zhou, Rui, Zhang, Yanxia, Yuan, Chenyang, Permenter, Frank, Arechiga, Nikos, Klenk, Matt, Ahmed, Faez
This paper introduces a generative model designed for multimodal control over text-to-image foundation generative AI models such as Stable Diffusion, specifically tailored for engineering design synthesis. Our model proposes parametric, image, and te
Externí odkaz:
http://arxiv.org/abs/2412.04707
Autor:
Chen, Yan-Ying, Hakimi, Shabnam, Van, Monica, Chen, Francine, Hong, Matthew, Klenk, Matt, Wu, Charlene
Publikováno v:
Published by ICML 2024 Workshop on LLMs and Cognition
Product images (e.g., a phone) can be used to elicit a diverse set of consumer-reported features expressed through language, including surface-level perceptual attributes (e.g., "white") and more complex ones, like perceived utility (e.g., "battery")
Externí odkaz:
http://arxiv.org/abs/2409.16521
Autor:
Yoo, Jinsun, Won, William, Cowan, Meghan, Jiang, Nan, Klenk, Benjamin, Sridharan, Srinivas, Krishna, Tushar
The explosion of machine learning model size has led to its execution on distributed clusters at a very large scale. Many works have tried to optimize the process of producing collective algorithms and running collective communications, which act as
Externí odkaz:
http://arxiv.org/abs/2408.11008
Autor:
Tritschler, Patrick, Schweikert, Christian, Klenk, Rouven H., Abdani, Simon, Sözen, Onur, Vogel, Wolfgang, Rademacher, Georg, Ohms, Torsten, Zimmermann, André, Degenfeld-Schonburg, Peter
Photonic microring resonators are used in a variety of chip-integrated sensing applications where they allow to measure transmission intensity changes upon external signals with a sensitivity that scales linearly with the Q-factor. In this work, we s
Externí odkaz:
http://arxiv.org/abs/2408.06247
Autor:
Zhou, Rui, Yuan, Chenyang, Permenter, Frank, Zhang, Yanxia, Arechiga, Nikos, Klenk, Matt, Ahmed, Faez
This study introduces a generative imputation model leveraging graph attention networks and tabular diffusion models for completing missing parametric data in engineering designs. This model functions as an AI design co-pilot, providing multiple desi
Externí odkaz:
http://arxiv.org/abs/2406.11934
Autor:
Gabriel, Iason, Manzini, Arianna, Keeling, Geoff, Hendricks, Lisa Anne, Rieser, Verena, Iqbal, Hasan, Tomašev, Nenad, Ktena, Ira, Kenton, Zachary, Rodriguez, Mikel, El-Sayed, Seliem, Brown, Sasha, Akbulut, Canfer, Trask, Andrew, Hughes, Edward, Bergman, A. Stevie, Shelby, Renee, Marchal, Nahema, Griffin, Conor, Mateos-Garcia, Juan, Weidinger, Laura, Street, Winnie, Lange, Benjamin, Ingerman, Alex, Lentz, Alison, Enger, Reed, Barakat, Andrew, Krakovna, Victoria, Siy, John Oliver, Kurth-Nelson, Zeb, McCroskery, Amanda, Bolina, Vijay, Law, Harry, Shanahan, Murray, Alberts, Lize, Balle, Borja, de Haas, Sarah, Ibitoye, Yetunde, Dafoe, Allan, Goldberg, Beth, Krier, Sébastien, Reese, Alexander, Witherspoon, Sims, Hawkins, Will, Rauh, Maribeth, Wallace, Don, Franklin, Matija, Goldstein, Josh A., Lehman, Joel, Klenk, Michael, Vallor, Shannon, Biles, Courtney, Morris, Meredith Ringel, King, Helen, Arcas, Blaise Agüera y, Isaac, William, Manyika, James
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of act
Externí odkaz:
http://arxiv.org/abs/2404.16244
Event cameras offer the exciting possibility of tracking the camera's pose during high-speed motion and in adverse lighting conditions. Despite this promise, existing event-based monocular visual odometry (VO) approaches demonstrate limited performan
Externí odkaz:
http://arxiv.org/abs/2312.09800
Autor:
Röhrl, Stefan, Groll, Johannes, Lengl, Manuel, Schumann, Simon, Klenk, Christian, Heim, Dominik, Knopp, Martin, Hayden, Oliver, Diepold, Klaus
Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of labeling and the associated lower contrast, can classify cells with h
Externí odkaz:
http://arxiv.org/abs/2311.14485
Autor:
Klenk, Michael
A series of recent papers raises worries about the manipulative potential of algorithmic transparency. But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the ind
Externí odkaz:
http://arxiv.org/abs/2311.13286