Zobrazeno 1 - 10
of 287 371
pro vyhledávání: '"An, Alicia"'
Floquet engineering, in which the properties of a quantum system are modified through the application of strong periodic drives, is an indispensable tool in atomic and condensed matter systems. However, it is inevitably limited by intrinsic heating p
Externí odkaz:
http://arxiv.org/abs/2410.12908
Autor:
Feuerriegel, Stefan, Frauen, Dennis, Melnychuk, Valentyn, Schweisthal, Jonas, Hess, Konstantin, Curth, Alicia, Bauer, Stefan, Kilbertus, Niki, Kohane, Isaac S., van der Schaar, Mihaela
Publikováno v:
Nature Medicine, vol. 30, pp. 958-968 (2024)
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes including efficacy and toxicity, thereby supporting the assessment and safety of drugs. A key benefit of causal ML is that it allows for estimating in
Externí odkaz:
http://arxiv.org/abs/2410.08770
Many state-of-the-art generative AI (GenAI) systems are increasingly prone to anthropomorphic behaviors, i.e., to generating outputs that are perceived to be human-like. While this has led to scholars increasingly raising concerns about possible nega
Externí odkaz:
http://arxiv.org/abs/2410.08526
Autor:
García-Donato, Gonzalo, Castellanos, María Eugenia, Cabras, Stefano, Quirós, Alicia, Forte, Anabel
The interplay between missing data and model uncertainty -- two classic statistical problems -- leads to primary questions that we formally address from an objective Bayesian perspective. For the general regression problem, we discuss the probabilist
Externí odkaz:
http://arxiv.org/abs/2410.05893
Milky Way analogues (MWAs) have long been studied by astronomers to place our Galaxy within an extragalactic context. With the power of cosmological simulations, we are now able to not only characterize MWAs today, but also watch as they evolve throu
Externí odkaz:
http://arxiv.org/abs/2410.07244
Autor:
Tierz, Alicia, Iparraguirre, Mikel M., Alfaro, Iciar, Gonzalez, David, Chinesta, Francisco, Cueto, Elias
We explore the feasibility of foundation models for the simulation of physical phenomena, with emphasis on continuum (solid and fluid) mechanics. Although so-called learned simulators have shown some success when applied to specific tasks, it remains
Externí odkaz:
http://arxiv.org/abs/2410.14645
Video Temporal Grounding (VTG) aims to ground specific segments within an untrimmed video corresponding to the given natural language query. Existing VTG methods largely depend on supervised learning and extensive annotated data, which is labor-inten
Externí odkaz:
http://arxiv.org/abs/2410.12813
Autor:
Gandia, David, Marcano, Lourdes, Gandarias, Lucía, Gubieda, Alicia G., García-Prieto, Ana, Barquín, Luis Fernández, Espeso, Jose Ignacio, Jefremovas, Elizabeth Martín, Orue, Iñaki, de Cerio, Ana Abad Diaz, Fdez-Gubieda, M. Luisa, Alonso, Javier
Magnetotactic bacteria (MTB) are of significant interest for biophysical applications, particularly in cancer treatment. The biomineralized magnetosomes produced by these bacteria are high-quality magnetic nanoparticles that form chains through a hig
Externí odkaz:
http://arxiv.org/abs/2410.00550
The real world is unpredictable. Therefore, to solve long-horizon decision-making problems with autonomous robots, we must construct agents that are capable of adapting to changes in the environment during deployment. Model-based planning approaches
Externí odkaz:
http://arxiv.org/abs/2409.19226
Autor:
Pias, Sabid Bin Habib, Freel, Alicia, Huang, Ran, Williamson, Donald, Kim, Minjeong, Kapadia, Apu
Voice Assistants (VAs) are popular for simple tasks, but users are often hesitant to use them for complex activities like online shopping. We explored whether the vocal characteristics like the VA's vocal tone, can make VAs perceived as more attracti
Externí odkaz:
http://arxiv.org/abs/2409.18941