Zobrazeno 1 - 10
of 11 045
pro vyhledávání: '"Reuss, A"'
Autor:
Blank, Nils, Reuss, Moritz, Rühle, Marcel, Yağmurlu, Ömer Erdinç, Wenzel, Fabian, Mees, Oier, Lioutikov, Rudolf
A central challenge towards developing robots that can relate human language to their perception and actions is the scarcity of natural language annotations in diverse robot datasets. Moreover, robot policies that follow natural language instructions
Externí odkaz:
http://arxiv.org/abs/2410.17772
Microscopic traffic simulations are used to evaluate the impact of infrastructure modifications and evolving vehicle technologies, such as connected and automated driving. Simulated vehicles are controlled via car-following, lane-changing and junctio
Externí odkaz:
http://arxiv.org/abs/2408.03722
We introduce EuroCropsML, an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe. It is the first dataset designed to benchmark transnational few-shot crop type classificat
Externí odkaz:
http://arxiv.org/abs/2407.17458
This work introduces the Multimodal Diffusion Transformer (MDT), a novel diffusion policy framework, that excels at learning versatile behavior from multimodal goal specifications with few language annotations. MDT leverages a diffusion-based multimo
Externí odkaz:
http://arxiv.org/abs/2407.05996
Autor:
Schlappa, Justine, Ghiringhelli, Giacomo, Van Kuiken, Benjamin E., Teichmann, Martin, Miedema, Piter S., Delitz, Jan Torben, Gerasimova, Natalia, Molodtsov, Serguei, Adriano, Luigi, Baranasic, Bernard, Broers, Carsten, Carley, Robert, Gessler, Patrick, Ghodrati, Nahid, Hickin, David, Hoang, Le Phuong, Izquierdo, Manuel, Mercadier, Laurent, Mercurio, Giuseppe, Parchenko, Sergii, Stupar, Marijan, Yin, Zhong, Martinelli, Leonardo, Merzoni, Giacomo, Peng, Ying Ying, Reuss, Torben, Lalithambika, Sreeju Sreekantan Nair, Techert, Simone, Laarmann, Tim, Huotari, Simo, Schroeter, Christian, Langer, Burkhard, Giessel, Tatjana, Buechner, Robby, Buchheim, Jana, da Cruz, Vinicius Vaz, Eckert, Sebastian, Gwalt, Grzegorz, Liu, Chun-Yu, Siewert, Frank, Sohrt, Christian, Weniger, Christian, Pietzsch, Annette, Neppl, Stefan, Senf, Friedmar, Scherz, Andreas, Föhlisch, Alexander
Resonant Inelastic X-ray Scattering (RIXS) is an ideal X-ray spectroscopy method to push the combination of energy and time resolutions to the Fourier transform ultimate limit, because it is unaffected by the core-hole lifetime energy broadening. And
Externí odkaz:
http://arxiv.org/abs/2403.08461
Autor:
Jia, Xiaogang, Blessing, Denis, Jiang, Xinkai, Reuss, Moritz, Donat, Atalay, Lioutikov, Rudolf, Neumann, Gerhard
Imitation learning with human data has demonstrated remarkable success in teaching robots in a wide range of skills. However, the inherent diversity in human behavior leads to the emergence of multi-modal data distributions, thereby presenting a form
Externí odkaz:
http://arxiv.org/abs/2402.14606
We propose a new policy representation based on score-based diffusion models (SDMs). We apply our new policy representation in the domain of Goal-Conditioned Imitation Learning (GCIL) to learn general-purpose goal-specified policies from large uncura
Externí odkaz:
http://arxiv.org/abs/2304.02532
Autor:
Adwine Vanslembrouck, Kevin Scheers, Xavier Vermeersch, Rens Hendrickx, Anna Schneider, Jacobus De Witte, Isra Deblauwe, Wim Van Bortel, Friederike Reuss, Ruth Müller
Publikováno v:
NeoBiota, Vol 94, Iss , Pp 179-203 (2024)
The invasive mosquito species Aedes albopictus (Skuse, 1894) is rapidly spreading in Europe, posing an increasing threat because of its high vector competence for chikungunya and dengue virus. An integrative and eco-friendly control of these populati
Externí odkaz:
https://doaj.org/article/ef4702e658134bd888293e16d184da3c
Autor:
Blessing, Denis, Celik, Onur, Jia, Xiaogang, Reuss, Moritz, Li, Maximilian Xiling, Lioutikov, Rudolf, Neumann, Gerhard
Imitation learning uses data for training policies to solve complex tasks. However, when the training data is collected from human demonstrators, it often leads to multimodal distributions because of the variability in human actions. Most imitation l
Externí odkaz:
http://arxiv.org/abs/2303.15349
Autor:
Elizabeth Y. Yuu, Christoph Bührer, Tim Eckmanns, Marcus Fulde, Michaela Herz, Oliver Kurzai, Christin Lindstedt, Gianni Panagiotou, Vitor C. Piro, Aleksandar Radonic, Bernhard Y. Renard, Annicka Reuss, Sara Leal Siliceo, Nadja Thielemann, Andrea Thürmer, Kira van Vorst, Lothar H. Wieler, Sebastian Haller
Publikováno v:
Gut Pathogens, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Background Enhancing our understanding of the underlying influences of medical interventions on the microbiome, resistome and mycobiome of preterm born infants holds significant potential for advancing infection prevention and treatment stra
Externí odkaz:
https://doaj.org/article/d230de3ca64c474099e575db76c15663