Zobrazeno 1 - 10
of 11 170
pro vyhledávání: '"ASTOLFI A."'
Autor:
Doebeli, Carlos, Astolfi, Alessandro, Kalise, Dante, Moreschini, Alessio, Scarciotti, Giordano, Simard, Joel
We propose a procedure for the numerical approximation of invariance equations arising in the moment matching technique associated with reduced-order modeling of high-dimensional dynamical systems. The Galerkin residual method is employed to find an
Externí odkaz:
http://arxiv.org/abs/2412.13371
Autor:
Hall, Melissa, Mañas, Oscar, Askari-Hemmat, Reyhane, Ibrahim, Mark, Ross, Candace, Astolfi, Pietro, Ifriqi, Tariq Berrada, Havasi, Marton, Benchetrit, Yohann, Ullrich, Karen, Braga, Carolina, Charnalia, Abhishek, Ryan, Maeve, Rabbat, Mike, Drozdzal, Michal, Verbeek, Jakob, Romero-Soriano, Adriana
As the use of text-to-image generative models increases, so does the adoption of automatic benchmarking methods used in their evaluation. However, while metrics and datasets abound, there are few unified benchmarking libraries that provide a framewor
Externí odkaz:
http://arxiv.org/abs/2412.10604
Autor:
Berrada, Tariq, Astolfi, Pietro, Verbeek, Jakob, Hall, Melissa, Havasi, Marton, Drozdzal, Michal, Benchetrit, Yohann, Romero-Soriano, Adriana, Alahari, Karteek
Latent diffusion models (LDMs) power state-of-the-art high-resolution generative image models. LDMs learn the data distribution in the latent space of an autoencoder (AE) and produce images by mapping the generated latents into RGB image space using
Externí odkaz:
http://arxiv.org/abs/2411.04873
Autor:
Ifriqi, Tariq Berrada, Astolfi, Pietro, Hall, Melissa, Askari-Hemmat, Reyhane, Benchetrit, Yohann, Havasi, Marton, Muckley, Matthew, Alahari, Karteek, Romero-Soriano, Adriana, Verbeek, Jakob, Drozdzal, Michal
Large-scale training of latent diffusion models (LDMs) has enabled unprecedented quality in image generation. However, the key components of the best performing LDM training recipes are oftentimes not available to the research community, preventing a
Externí odkaz:
http://arxiv.org/abs/2411.03177
In this note we investigate the problem of global exponential synchronization of multi-agent systems described by nonlinear input affine dynamics. We consider the case of networks described by undirected connected graphs possibly without leader. We p
Externí odkaz:
http://arxiv.org/abs/2410.23700
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