Zobrazeno 1 - 10
of 24 322
pro vyhledávání: '"Förster P"'
Autor:
Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim
Large Language Models (LLMs) and Vision Language Models (VLMs) possess extensive knowledge and exhibit promising reasoning abilities; however, they still struggle to perform well in complex, dynamic environments. Real-world tasks require handling int
Externí odkaz:
http://arxiv.org/abs/2411.13543
Autor:
Willems, Robin, Förster, Peter, Schöps, Sebastian, van der Sluis, Olaf, Verhoosel, Clemens V.
Cardio-mechanical models can be used to support clinical decision-making. Unfortunately, the substantial computational effort involved in many cardiac models hinders their application in the clinic, despite the fact that they may provide valuable inf
Externí odkaz:
http://arxiv.org/abs/2411.08822
Autor:
Hernández-García, L., Muñoz-Arancibia, A. M., Lira, P., Bruni, G., Cuadra, J., Arévalo, P., Sánchez-Sáez, P., Bernal, S., Bauer, F. E., Catelan, M., Panessa, F., Pávez-Herrera, M., Ricci, C., Reyes-Jainaga, I., Ailawadhi, B., Chavushyan, V., Dastidar, R., Deconto-Machado, A., Förster, F., Gangopadhyay, A., García-Pérez, A., Márquez, I., Masegosa, J., Misra, K., Patiño-Alvarez, V. M, Puig-Subirà, M., Rodi, J., Singh, M.
With a growing number of facilities able to monitor the entire sky and produce light curves with a cadence of days, in recent years there has been an increased rate of detection of sources whose variability deviates from standard behavior, revealing
Externí odkaz:
http://arxiv.org/abs/2411.08949
Autor:
Wilsmann, Karin Wittmann, Castro, Erick R., Roditi, Itzhak, Foerster, Angela, Hirsch, Jorge G.
This study explores the semiclassical limit of an integrable-chaotic bosonic many-body quantum system, providing nuanced insights into its behavior. We examine classical-quantum correspondences across different interaction regimes of bosons in a trip
Externí odkaz:
http://arxiv.org/abs/2411.07373
Autor:
Lee, Lilian L., Schreiber, Natascha M. Förster, Price, Sedona H., Liu, Daizhong, Genzel, Reinhard, Davies, Richard I, Tacconi, Linda J., Shimizu, Thomas T., Shachar, Amit Nestor, Salcedo, Juan M. Espejo, Pastras, Stavros, Wuyts, Stijn, Lutz, Dieter, Renzini, Alvio, Übler, Hannah D., Herrera-Camus, Rodrigo, Sternberg, Amiel
Spatially-resolved emission line kinematics are invaluable to investigating fundamental galaxy properties and have become increasingly accessible for galaxies at $z\gtrsim0.5$ through sensitive near-infrared imaging spectroscopy and millimeter interf
Externí odkaz:
http://arxiv.org/abs/2411.07312
We present an empirical study investigating how specific properties of preference datasets, such as mixed-quality or noisy data, affect the performance of Preference Optimization (PO) algorithms. Our experiments, conducted in MuJoCo environments, rev
Externí odkaz:
http://arxiv.org/abs/2411.06568
It is now a common business practice to buy access to large language model (LLM) inference rather than self-host, because of significant upfront hardware infrastructure and energy costs. However, as a buyer, there is no mechanism to verify the authen
Externí odkaz:
http://arxiv.org/abs/2411.05197
Zero-shot coordination (ZSC) is a popular setting for studying the ability of reinforcement learning (RL) agents to coordinate with novel partners. Prior ZSC formulations assume the $\textit{problem setting}$ is common knowledge: each agent knows the
Externí odkaz:
http://arxiv.org/abs/2411.04976
Autor:
Carvajal, J. P., Bauer, F. E., Reyes-Jainaga, I., Förster, F., Arancibia, A. M. Muñoz, Catelan, M., Sánchez-Sáez, P., Ricci, C., Bayo, A.
A significant challenge in the study of transient astrophysical phenomena is the identification of bogus events, with human-made Earth-orbiting satellites and debris remain a key contaminant. Existing pipelines effectively identify satellite trails b
Externí odkaz:
http://arxiv.org/abs/2411.03258
Proximal policy optimization (PPO) is a widely-used algorithm for on-policy reinforcement learning. This work offers an alternative perspective of PPO, in which it is decomposed into the inner-loop estimation of update vectors, and the outer-loop app
Externí odkaz:
http://arxiv.org/abs/2411.00666