Zobrazeno 1 - 10
of 35 419
pro vyhledávání: '"Lazaro IS"'
Autor:
Ivanov, Mikhail M., Cuesta-Lazaro, Carolina, Obuljen, Andrej, Toomey, Michael W., Ni, Yueying, Bose, Sownak, Hadzhiyska, Boryana, Hernández-Aguayo, César, Hernquist, Lars, Kannan, Rahul, Springel, Volker
Cosmological analyses of redshift space clustering data are primarily based on using luminous ``red'' galaxies (LRGs) and ``blue'' emission line galaxies (ELGs) to trace underlying dark matter. Using the large high-fidelity high-resolution Millennium
Externí odkaz:
http://arxiv.org/abs/2412.01888
Understanding how viral mutant spectra organize and explore genotype space is essential for unraveling the mechanisms driving evolution at the finest scale. Here we use deep-sequencing data of an amplicon in the A2 protein of the RNA bacteriophage Q$
Externí odkaz:
http://arxiv.org/abs/2411.07110
Autor:
Strasser, Thomas I., Widl, Edmund, Kuchenbuch, René A., Lázaro-Elorriaga, Laura, Laraudogoitia, Borja Tellado, Ginocchi, Mirko, Penthong, Thanakorn, Ponci, Ferdinanda, Gyrard, Amelie, Kung, Antonio, Mac Gregor, Carlos A., Montero, Carmen Garcia, Algaba, Eduardo Relano
Interoperability is the key to implementing a wide range of energy systems applications. It involves the seamless cooperation of different methods and components. With smart energy systems, interoperability faces challenges due to integrating differ-
Externí odkaz:
http://arxiv.org/abs/2411.03369
The dynamics of wild-type (wt) RNA viruses and their defective viral genomes (DVGs) have been extensively studied both experimentally and theoretically. This research has paid special attention to the interference effects of DVGs on wt accumulation,
Externí odkaz:
http://arxiv.org/abs/2411.00070
Autor:
Balla, Julia, Mishra-Sharma, Siddharth, Cuesta-Lazaro, Carolina, Jaakkola, Tommi, Smidt, Tess
Efficiently processing structured point cloud data while preserving multiscale information is a key challenge across domains, from graphics to atomistic modeling. Using a curated dataset of simulated galaxy positions and properties, represented as po
Externí odkaz:
http://arxiv.org/abs/2410.20516
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
Autor:
Zhou, Guangyao, Swaminathan, Sivaramakrishnan, Raju, Rajkumar Vasudeva, Guntupalli, J. Swaroop, Lehrach, Wolfgang, Ortiz, Joseph, Dedieu, Antoine, Lázaro-Gredilla, Miguel, Murphy, Kevin
We propose Diffusion Model Predictive Control (D-MPC), a novel MPC approach that learns a multi-step action proposal and a multi-step dynamics model, both using diffusion models, and combines them for use in online MPC. On the popular D4RL benchmark,
Externí odkaz:
http://arxiv.org/abs/2410.05364
In this work, we present a comprehensive method for determining the dispersion relation in one-dimensional waveguides, applicable to a wide range of structures, regardless of their specific characteristics. This general framework employs a unified ma
Externí odkaz:
http://arxiv.org/abs/2410.04549
This work reports the conditions under which weak scattering assumptions can be applied in a beam loaded by multiple resonators supporting both longitudinal and flexural waves. The work derives the equations of motion of a one-dimensional elastic wav
Externí odkaz:
http://arxiv.org/abs/2410.00188
Autor:
Ortiz, Joseph, Dedieu, Antoine, Lehrach, Wolfgang, Guntupalli, Swaroop, Wendelken, Carter, Humayun, Ahmad, Zhou, Guangyao, Swaminathan, Sivaramakrishnan, Lázaro-Gredilla, Miguel, Murphy, Kevin
Learning from previously collected data via behavioral cloning or offline reinforcement learning (RL) is a powerful recipe for scaling generalist agents by avoiding the need for expensive online learning. Despite strong generalization in some respect
Externí odkaz:
http://arxiv.org/abs/2409.18330