Zobrazeno 1 - 10
of 105 524
pro vyhledávání: '"Bach AT"'
Autor:
Zalevskyi, Vladyslav, Sanchez, Thomas, Roulet, Margaux, Lajous, Hélène, Verdera, Jordina Aviles, Hutter, Jana, Kebiri, Hamza, Cuadra, Meritxell Bach
Fetal brain tissue segmentation in magnetic resonance imaging (MRI) is a crucial tool that supports the understanding of neurodevelopment, yet it faces challenges due to the heterogeneity of data coming from different scanners and settings, and due t
Externí odkaz:
http://arxiv.org/abs/2411.06842
There is a history of simple forecast error growth models designed to capture the key properties of error growth in operational numerical weather prediction (NWP) models. We propose here such a scalar model that relies on the previous ones and incorp
Externí odkaz:
http://arxiv.org/abs/2411.06623
Autor:
Beyler, Eliot, Bach, Francis
In this paper, we derive variational inference upper-bounds on the log-partition function of pairwise Markov random fields on the Boolean hypercube, based on quantum relaxations of the Kullback-Leibler divergence. We then propose an efficient algorit
Externí odkaz:
http://arxiv.org/abs/2411.03759
Autor:
Lisakov, Mikhail, Jorstad, Svetlana, Wielgus, Maciek, Kravchenko, Evgeniya V., Nikonov, Aleksei S., Cho, Ilje, Issaoun, Sara, Algaba, Juan-Carlos, Krichbaum, Thomas P., Bach, Uwe, Ros, Eduardo, Rottmann, Helge, S'anchez, Salvador, Wagner, Jan, Zensus, Anton
The advancement of the Event Horizon Telescope has enabled the study of relativistic jets in active galactic nuclei down to sub-parsec linear scales even at high redshift. Quasi-simultaneous multifrequency observations provide insights into the physi
Externí odkaz:
http://arxiv.org/abs/2411.03446
Autor:
Bao, Nguyen Tran Gia, Trang, Ton Nu Quynh, Thoai, Nam, Thang, Phan Bach, Thu, Vu Thi Hanh, Hung, Nguyen Tuan
Direct Z-scheme heterostructures with enhanced redox potential are increasingly regarded as promising materials for solar-driven water splitting. This potential arises from the synergistic interaction between the intrinsic dipoles in Janus materials
Externí odkaz:
http://arxiv.org/abs/2411.03396
Autor:
Khandelwal, Apoorv, Yun, Tian, Nayak, Nihal V., Merullo, Jack, Bach, Stephen H., Sun, Chen, Pavlick, Ellie
Pre-training is notoriously compute-intensive and academic researchers are notoriously under-resourced. It is, therefore, commonly assumed that academics can't pre-train models. In this paper, we seek to clarify this assumption. We first survey acade
Externí odkaz:
http://arxiv.org/abs/2410.23261
Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimization can be catastrophically difficult if it involves posterior samples,
Externí odkaz:
http://arxiv.org/abs/2410.22322
Autor:
Kiefer, Sven, Bach-Møller, Nanna, Samra, Dominic, Lewis, David A., Schneider, Aaron D., Amadio, Flavia, Lecoq-Molinos, Helena, Carone, Ludmila, Decin, Leen, Jørgensen, Uffe G., Helling, Christiane
Warm Saturn type exoplanets orbiting M-dwarfs are particularly suitable for in-depth cloud characterisation through transmission spectroscopy due to their favourable stellar to planetary radius contrast. However, modelling cloud formation consistentl
Externí odkaz:
http://arxiv.org/abs/2410.17716
In this paper, we first show that increases in beam size of even just small-sized LLM (1B-7B parameters) require an extensive GPU resource consumption, leading to up to 80% of recurring crashes due to memory overloads in LLM-based APR. Seemingly simp
Externí odkaz:
http://arxiv.org/abs/2410.16655
Understanding events in time series is an important task in a variety of contexts. However, human analysis and labeling are expensive and time-consuming. Therefore, it is advantageous to learn embeddings for moments in time series in an unsupervised
Externí odkaz:
http://arxiv.org/abs/2410.15416