Zobrazeno 1 - 10
of 4 809
pro vyhledávání: '"Garcia David"'
Autor:
Florido-Llinàs, Marta, Alhambra, Álvaro M., Trivedi, Rahul, Schuch, Norbert, Pérez-García, David, Cirac, J. Ignacio
Tensor network methods have proved to be highly effective in addressing a wide variety of physical scenarios, including those lacking an intrinsic one-dimensional geometry. In such contexts, it is possible for the problem to exhibit a weak form of pe
Externí odkaz:
http://arxiv.org/abs/2410.19541
The study of undecidability in problems arising from physics has experienced a renewed interest, mainly in connection with quantum information problems. The goal of this review is to survey this recent development. After a historical introduction, we
Externí odkaz:
http://arxiv.org/abs/2410.16532
Autor:
López-García, David, Segovia, Fermín, Rodríguez-Rivero, Jacob, Ramírez, Javier, Pérez, David, Serrano, Raúl, Górriz, Juan Manuel
Publikováno v:
(2024) International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 225-245). Cham: Springer Nature Switzerland
The RESISTO project represents a pioneering initiative in Europe aimed at enhancing the resilience of the power grid through the integration of advanced technologies. This includes artificial intelligence and thermal surveillance systems to mitigate
Externí odkaz:
http://arxiv.org/abs/2410.19800
Autor:
Rodríguez-Rivero, Jacob, López-García, David, Segovia, Fermín, Ramírez, Javier, Górriz, Juan Manuel, Serrano, Raúl, Pérez, David, Maza, Iván, Ollero, Aníbal, Solà, Pol Paradell, Selga, Albert Gili, Domínguez-García, José Luis, Romero, A., Berro, A., Domínguez, Rocío, Prieto, Inmaculada
The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emphasizing intelligence and flexibility within distribution networks, RES
Externí odkaz:
http://arxiv.org/abs/2410.19799
This paper proposes temporally aligned Large Language Models (LLMs) as a tool for longitudinal analysis of social media data. We fine-tune Temporal Adapters for Llama 3 8B on full timelines from a panel of British Twitter users, and extract longitudi
Externí odkaz:
http://arxiv.org/abs/2409.17990
We study noisy calcium imaging data, with a focus on the classification of spike traces. As raw traces obscure the true temporal structure of neuron's activity, we performed a tuned filtering of the calcium concentration using two methods: a biophysi
Externí odkaz:
http://arxiv.org/abs/2409.10409
The applications of Large Language Models (LLMs) are going towards collaborative tasks where several agents interact with each other like in an LLM society. In such a setting, large groups of LLMs could reach consensus about arbitrary norms for which
Externí odkaz:
http://arxiv.org/abs/2409.02822
We introduce regular language states, a family of quantum many-body states. They are built from a special class of formal languages, called regular, which has been thoroughly studied in the field of computer science. They can be understood as the sup
Externí odkaz:
http://arxiv.org/abs/2407.17641
Matrix-product unitaries (MPU) are 1D tensor networks describing time evolution and unitary symmetries of quantum systems, while their action on states by construction preserves the entanglement area law. MPU which are formed by a single repeated ten
Externí odkaz:
http://arxiv.org/abs/2406.10195
Autor:
Aroyehun, Segun Taofeek, Simchon, Almog, Carrella, Fabio, Lasser, Jana, Lewandowsky, Stephan, Garcia, David
Pursuit of honest and truthful decision-making is crucial for governance and accountability in democracies. However, people sometimes take different perspectives of what it means to be honest and how to pursue truthfulness. Here we explore a continuu
Externí odkaz:
http://arxiv.org/abs/2405.07323