Zobrazeno 1 - 10
of 8 207
pro vyhledávání: '"Hutter, P A"'
Autor:
Balashankar, Ananth, Sun, Ziteng, Berant, Jonathan, Eisenstein, Jacob, Collins, Michael, Hutter, Adrian, Lee, Jong, Nagpal, Chirag, Prost, Flavien, Sinha, Aradhana, Suresh, Ananda Theertha, Beirami, Ahmad
Language model alignment has become a critical step in training modern generative language models. The goal of alignment is to finetune a reference model such that the win rate of a sample from the aligned model over a sample from the reference model
Externí odkaz:
http://arxiv.org/abs/2412.19792
Autor:
Jobsis, Huygen J., Gao, Lei, Reponen, Antti-Pekka M., VanOrman, Zachary A., Rijpers, Rick P. P. P. M., Wang, Hai I., Feldmann, Sascha, Hutter, Eline M.
Cs$_2$AgBiBr$_6$ shows promise for solution-processable optoelectronics, such as photovoltaics, photocatalysis and X-ray detection. However, various spectroscopic studies report rapid charge carrier mobility loss in the first picosecond after photoex
Externí odkaz:
http://arxiv.org/abs/2412.14929
Autor:
Ronchetti, Federico, Akishina, Valentina, Andreassen, Edvard, Bluhme, Nora, Dange, Gautam, de Cuveland, Jan, Erba, Giada, Gaur, Hari, Hutter, Dirk, Kozlov, Grigory, Krčál, Luboš, La Pointe, Sarah, Lehrbach, Johannes, Lindenstruth, Volker, Neskovic, Gvozden, Redelbach, Andreas, Rohr, David, Weiglhofer, Felix, Wilhelmi, Alexander
Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O$^2$ data processing within a single software framework. The A
Externí odkaz:
http://arxiv.org/abs/2412.13755
Autor:
Xiao, Mengyuan, Williams, Christina C., Oesch, Pascal A., Elbaz, David, Dessauges-Zavadsky, Miroslava, Chaves, Rui Marques Coelho, Bing, Longji, Ji, Zhiyuan, Weibel, Andrea, Bezanson, Rachel, Brammer, Gabriel, Casey, Caitlin, Cloonan, Aidan P., Daddi, Emanuele, Dayal, Pratika, Faisst, Andreas L., Franx, Marijn, Glazebrook, Karl, Hutter, Anne, Kartaltepe, Jeyhan S., Labbe, Ivo, Lagache, Guilaine, Lim, Seunghwan, Magnelli, Benjamin, Martinez, Felix, Maseda, Michael V., Nanayakkara, Themiya, Schaerer, Daniel, Whitaker, Katherine E.
We report the discovery of an ultra-massive grand-design red spiral galaxy, named Zh\'ul\'ong (Torch Dragon), at $z_{\rm phot} = 5.2^{+0.3}_{-0.2}$ in the JWST PANORAMIC survey, identified as the most distant bulge+disk galaxy with spiral arms known
Externí odkaz:
http://arxiv.org/abs/2412.13264
Levin Tree Search (LTS) (Orseau et al., 2018) is a search algorithm for deterministic environments that uses a user-specified policy to guide the search. It comes with a formal guarantee on the number of search steps for finding a solution node that
Externí odkaz:
http://arxiv.org/abs/2412.05196
Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by the lack of realistic datasets. To address this, we introduce InCrowd
Externí odkaz:
http://arxiv.org/abs/2411.14358
Autor:
Grazzi, Riccardo, Siems, Julien, Franke, Jörg K. H., Zela, Arber, Hutter, Frank, Pontil, Massimiliano
Linear Recurrent Neural Networks (LRNNs) such as Mamba, RWKV, GLA, mLSTM, and DeltaNet have emerged as efficient alternatives to Transformers in large language modeling, offering linear scaling with sequence length and improved training efficiency. H
Externí odkaz:
http://arxiv.org/abs/2411.12537
Autor:
Yin, Hao, Hutter, Mark, Wagner, Christian, Tautz, F. Stefan, Bocquet, François C., Kumpf, Christian
To take full advantage of twisted bilayers of graphene or other two-dimensional materials, it is essential to precisely control the twist angle between the stacked layers, as this parameter determines the properties of the heterostructure. In this co
Externí odkaz:
http://arxiv.org/abs/2411.11684
While most ML models expect independent and identically distributed data, this assumption is often violated in real-world scenarios due to distribution shifts, resulting in the degradation of machine learning model performance. Until now, no tabular
Externí odkaz:
http://arxiv.org/abs/2411.10634
Autor:
Mallik, Neeratyoy, Janowski, Maciej, Hog, Johannes, Rakotoarison, Herilalaina, Klein, Aaron, Grabocka, Josif, Hutter, Frank
Scaling model sizes to scale performance has worked remarkably well for the current large language models paradigm. The research and empirical findings of various scaling studies led to novel scaling results and laws that guides subsequent research.
Externí odkaz:
http://arxiv.org/abs/2411.07340