Zobrazeno 1 - 10
of 10 957
pro vyhledávání: '"Astolfi A."'
Certain linear matrix operators arise naturally in systems analysis and design problems involving cascade interconnections of linear time-invariant systems, including problems of stabilization, estimation, and model order reduction. We conduct here a
Externí odkaz:
http://arxiv.org/abs/2408.07568
Autor:
Sobal, Vlad, Ibrahim, Mark, Balestriero, Randall, Cabannes, Vivien, Bouchacourt, Diane, Astolfi, Pietro, Cho, Kyunghyun, LeCun, Yann
Learning good representations involves capturing the diverse ways in which data samples relate. Contrastive loss - an objective matching related samples - underlies methods from self-supervised to multimodal learning. Contrastive losses, however, can
Externí odkaz:
http://arxiv.org/abs/2407.18134
Autor:
Astolfi, Pietro, Careil, Marlene, Hall, Melissa, Mañas, Oscar, Muckley, Matthew, Verbeek, Jakob, Soriano, Adriana Romero, Drozdzal, Michal
Building world models that accurately and comprehensively represent the real world is the utmost aspiration for conditional image generative models as it would enable their use as world simulators. For these models to be successful world models, they
Externí odkaz:
http://arxiv.org/abs/2406.10429
Autor:
Bordes, Florian, Pang, Richard Yuanzhe, Ajay, Anurag, Li, Alexander C., Bardes, Adrien, Petryk, Suzanne, Mañas, Oscar, Lin, Zhiqiu, Mahmoud, Anas, Jayaraman, Bargav, Ibrahim, Mark, Hall, Melissa, Xiong, Yunyang, Lebensold, Jonathan, Ross, Candace, Jayakumar, Srihari, Guo, Chuan, Bouchacourt, Diane, Al-Tahan, Haider, Padthe, Karthik, Sharma, Vasu, Xu, Hu, Tan, Xiaoqing Ellen, Richards, Megan, Lavoie, Samuel, Astolfi, Pietro, Hemmat, Reyhane Askari, Chen, Jun, Tirumala, Kushal, Assouel, Rim, Moayeri, Mazda, Talattof, Arjang, Chaudhuri, Kamalika, Liu, Zechun, Chen, Xilun, Garrido, Quentin, Ullrich, Karen, Agrawal, Aishwarya, Saenko, Kate, Celikyilmaz, Asli, Chandra, Vikas
Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guide us through unfamiliar environments to generative models that produce
Externí odkaz:
http://arxiv.org/abs/2405.17247
In this article, we present a stabilization feedback law with integral action for conservative abstract linear systems subjected to actuator nonlinearity. Based on the designed control law, we first prove the well-posedness and global asymptotic stab
Externí odkaz:
http://arxiv.org/abs/2405.09986
Autor:
Mañas, Oscar, Astolfi, Pietro, Hall, Melissa, Ross, Candace, Urbanek, Jack, Williams, Adina, Agrawal, Aishwarya, Romero-Soriano, Adriana, Drozdzal, Michal
Impressive advances in text-to-image (T2I) generative models have yielded a plethora of high performing models which are able to generate aesthetically appealing, photorealistic images. Despite the progress, these models still struggle to produce ima
Externí odkaz:
http://arxiv.org/abs/2403.17804
Autor:
Lebensold, Jonathan, Sanjabi, Maziar, Astolfi, Pietro, Romero-Soriano, Adriana, Chaudhuri, Kamalika, Rabbat, Mike, Guo, Chuan
Text-to-image diffusion models have been shown to suffer from sample-level memorization, possibly reproducing near-perfect replica of images that they are trained on, which may be undesirable. To remedy this issue, we develop the first differentially
Externí odkaz:
http://arxiv.org/abs/2403.14421
In remote estimation of cyber-physical systems (CPSs), sensor measurements transmitted through network may be attacked by adversaries, leading to leakage risk of privacy (e.g., the system state), and/or failure of the remote estimator. To deal with t
Externí odkaz:
http://arxiv.org/abs/2403.09076
Autor:
Urbanek, Jack, Bordes, Florian, Astolfi, Pietro, Williamson, Mary, Sharma, Vasu, Romero-Soriano, Adriana
Curation methods for massive vision-language datasets trade off between dataset size and quality. However, even the highest quality of available curated captions are far too short to capture the rich visual detail in an image. To show the value of de
Externí odkaz:
http://arxiv.org/abs/2312.08578
Recently, the concept of k-contraction has been introduced as a promising generalization of contraction for dynamical systems. However, the study of k-contraction properties has faced significant challenges due to the reliance on complex mathematical
Externí odkaz:
http://arxiv.org/abs/2311.18388