Zobrazeno 1 - 10
of 716 707
pro vyhledávání: '"A. A. Albert"'
Autor:
Armengol, Jan Mateu, Carnerero, Cristina, Rames, Clément, Criado, Álvaro, Borge-Holthoefer, Javier, Soret, Albert, Solé-Ribalta, Albert
Air pollution is a pressing environmental risk to public health, particularly in cities where population density and pollution levels are high. Traditional methods for exposure analysis often rely on census data, but recent studies highlight the impa
Externí odkaz:
http://arxiv.org/abs/2410.22015
Autor:
Sharma, Ansh, Xiao, Albert, Rathi, Praneet, Kundu, Rohit, Zhai, Albert, Shen, Yuan, Wang, Shenlong
In this work, we present a novel method for extensive multi-scale generative terrain modeling. At the core of our model is a cascade of superresolution diffusion models that can be combined to produce consistent images across multiple resolutions. Pa
Externí odkaz:
http://arxiv.org/abs/2409.01491
Autor:
Paulino, Paulo J., Cabot, Albert, De Chiara, Gabriele, Antezza, Mauro, Lesanovsky, Igor, Carollo, Federico
Open many-body quantum systems can exhibit intriguing nonequilibrium phases of matter, such as time crystals. In these phases, the state of the system spontaneously breaks the time-translation symmetry of the dynamical generator, which typically mani
Externí odkaz:
http://arxiv.org/abs/2411.04836
Autor:
Adhikary, Jyotismita, Anchordoqui, Luis A., Ariga, Akitaka, Ariga, Tomoko, Barr, Alan J., Batell, Brian, Bian, Jianming, Boyd, Jamie, Citron, Matthew, De Roeck, Albert, Diwan, Milind V., Feng, Jonathan L., Hill, Christopher S., Jeong, Yu Seon, Kling, Felix, Linden, Steven, Mäkelä, Toni, Mavrokoridis, Kostas, McFayden, Josh, Otono, Hidetoshi, Rojo, Juan, Soldin, Dennis, Stasto, Anna, Trojanowski, Sebastian, Vicenzi, Matteo, Wu, Wenjie
The recent direct detection of neutrinos at the LHC has opened a new window on high-energy particle physics and highlighted the potential of forward physics for groundbreaking discoveries. In the last year, the physics case for forward physics has co
Externí odkaz:
http://arxiv.org/abs/2411.04175
Autor:
Grosnit, Antoine, Maraval, Alexandre, Doran, James, Paolo, Giuseppe, Thomas, Albert, Beevi, Refinath Shahul Hameed Nabeezath, Gonzalez, Jonas, Khandelwal, Khyati, Iacobacci, Ignacio, Benechehab, Abdelhakim, Cherkaoui, Hamza, El-Hili, Youssef Attia, Shao, Kun, Hao, Jianye, Yao, Jun, Kegl, Balazs, Bou-Ammar, Haitham, Wang, Jun
We introduce Agent K v1.0, an end-to-end autonomous data science agent designed to automate, optimise, and generalise across diverse data science tasks. Fully automated, Agent K v1.0 manages the entire data science life cycle by learning from experie
Externí odkaz:
http://arxiv.org/abs/2411.03562
Autor:
Sneppen, Albert, Just, Oliver, Bauswein, Andreas, Damgaard, Rasmus, Watson, Darach, Shingles, Luke J., Collins, Christine E., Sim, Stuart A., Xiong, Zewei, Martinez-Pinedo, Gabriel, Soultanis, Theodoros, Vijayan, Vimal
The time until black hole formation in a binary neutron-star (NS) merger contains invaluable information about the nuclear equation of state (EoS) but has thus far been difficult to measure. We propose a new way to constrain the merger remnant's NS l
Externí odkaz:
http://arxiv.org/abs/2411.03427
Autor:
Ball, Adam, Law, Y. T. Albert
We extend our recently identified dynamical edge mode boundary condition to $p$-form gauge theories, revealing their edge modes as Goldstone bosons arising from gauge transformations with support on the boundary. The symplectic conjugates of these ed
Externí odkaz:
http://arxiv.org/abs/2411.02555
Modern visual effects (VFX) software has made it possible for skilled artists to create imagery of virtually anything. However, the creation process remains laborious, complex, and largely inaccessible to everyday users. In this work, we present Auto
Externí odkaz:
http://arxiv.org/abs/2411.02394
Autor:
Protani, Andrea, Giusti, Lorenzo, Aillet, Albert Sund, Sacco, Simona, Manganotti, Paolo, Marinelli, Lucio, Santos, Diogo Reis, Brutti, Pierpaolo, Caliandro, Pietro, Serio, Luigi
Machine learning (ML) has the potential to become an essential tool in supporting clinical decision-making processes, offering enhanced diagnostic capabilities and personalized treatment plans. However, outsourcing medical records to train ML models
Externí odkaz:
http://arxiv.org/abs/2411.02286
Autor:
Mayo, David, Wang, Christopher, Harbin, Asa, Alabdulkareem, Abdulrahman, Shaw, Albert Eaton, Katz, Boris, Barbu, Andrei
When evaluating stimuli reconstruction results it is tempting to assume that higher fidelity text and image generation is due to an improved understanding of the brain or more powerful signal extraction from neural recordings. However, in practice, n
Externí odkaz:
http://arxiv.org/abs/2411.02783