Zobrazeno 1 - 10
of 21 339
pro vyhledávání: '"Aguilera, P. A."'
Autor:
Joaquín-Jaime, O., Lázaro-Lázaro, E., Peredo-Ortiz, R., Srivastava, S., Medina-Noyola, M., Elizondo-Aguilera, L. F.
We report a novel approach based on the non-equilibrium self-consistent generalized Langevin equation (NESCGLE) theory that allows for the first principles prediction of the zero-shear viscosity in glass- and- gel-forming materials. This new modulus
Externí odkaz:
http://arxiv.org/abs/2410.08512
Transformers have become the leading choice in natural language processing over other deep learning architectures. This trend has also permeated the field of time series analysis, especially for long-horizon forecasting, showcasing promising results
Externí odkaz:
http://arxiv.org/abs/2410.03805
Autor:
Kumar, Abhinav, Power, Thomas, Yang, Fan, Marinovic, Sergio Aguilera, Iba, Soshi, Zarrin, Rana Soltani, Berenson, Dmitry
Planning contact-rich interactions for multi-finger manipulation is challenging due to the high-dimensionality and hybrid nature of dynamics. Recent advances in data-driven methods have shown promise, but are sensitive to the quality of training data
Externí odkaz:
http://arxiv.org/abs/2410.00841
We study 2d $SU(N)$ QCD with an adjoint Dirac fermion. Assuming that the IR limit of the massless theory is captured by a WZW coset CFT, we show that this CFT can be decomposed into a sum of distinct CFTs, each representing a superselection sector (u
Externí odkaz:
http://arxiv.org/abs/2409.17989
Training machine learning models based on neural networks requires large datasets, which may contain sensitive information. The models, however, should not expose private information from these datasets. Differentially private SGD [DP-SGD] requires t
Externí odkaz:
http://arxiv.org/abs/2409.17144
Autor:
Murat, Antoine, Burgelin, Clément, Xygkis, Athanasios, Zablotchi, Igor, Aguilera, Marcos K., Guerraoui, Rachid
Memory disaggregation is an emerging data center architecture that improves resource utilization and scalability. Replication is key to ensure the fault tolerance of applications, but replicating shared data in disaggregated memory is hard. We propos
Externí odkaz:
http://arxiv.org/abs/2409.16258
Autor:
Ghermaoui, A., Aguilera, M. Bosch, Bouganne, R., Vatré, R., Fritsche, I., Beugnon, J., Gerbier, F.
We use Ramsey interferometry to study spin dynamics in the strongly interacting regime of spin-orbit-coupled quantum gases in one-dimensional optical lattices. We observe an intrinsic many-body dephasing mechanism immune to spin-echo in two-component
Externí odkaz:
http://arxiv.org/abs/2409.05828
Autism Spectrum Disorder (ASD) can affect individuals at varying degrees of intensity, from challenges in overall health, communication, and sensory processing, and this often begins at a young age. Thus, it is critical for medical professionals to b
Externí odkaz:
http://arxiv.org/abs/2409.04598
Autor:
Yang, Fan, Power, Thomas, Marinovic, Sergio Aguilera, Iba, Soshi, Zarrin, Rana Soltani, Berenson, Dmitry
Parameterizing finger rolling and finger-object contacts in a differentiable manner is important for formulating dexterous manipulation as a trajectory optimization problem. In contrast to previous methods which often assume simplified geometries of
Externí odkaz:
http://arxiv.org/abs/2408.13229
In recent years, computational improvements have allowed for more nuanced, data-driven and geographically explicit agent-based simulations. So far, simulations have struggled to adequately represent the attributes that motivate the actions of the age
Externí odkaz:
http://arxiv.org/abs/2408.09407