Zobrazeno 1 - 10
of 116 569
pro vyhledávání: '"P. Roland"'
Autor:
Park, Ryan, Hsu, Darren J., Roland, C. Brian, Korshunova, Maria, Tessler, Chen, Mannor, Shie, Viessmann, Olivia, Trentini, Bruno
Inverse folding models play an important role in structure-based design by predicting amino acid sequences that fold into desired reference structures. Models like ProteinMPNN, a message-passing encoder-decoder model, are trained to reliably produce
Externí odkaz:
http://arxiv.org/abs/2410.19471
Autor:
Williams, Andrew Robert, Ashok, Arjun, Marcotte, Étienne, Zantedeschi, Valentina, Subramanian, Jithendaraa, Riachi, Roland, Requeima, James, Lacoste, Alexandre, Rish, Irina, Chapados, Nicolas, Drouin, Alexandre
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks crucial context necessary for accurate predictions. Human forecasters frequently rely on additional information, such
Externí odkaz:
http://arxiv.org/abs/2410.18959
Autor:
Khisti, Ashish, Ebrahimi, M. Reza, Dbouk, Hassan, Behboodi, Arash, Memisevic, Roland, Louizos, Christos
We consider multi-draft speculative sampling, where the proposal sequences are sampled independently from different draft models. At each step, a token-level draft selection scheme takes a list of valid tokens as input and produces an output token wh
Externí odkaz:
http://arxiv.org/abs/2410.18234
Water at negative pressures can remain in a metastable state for a surprisingly long time before it reaches equilibrium by cavitation, i.e. by the formation of vapor bubbles. The wide spread of experimentally measured cavitation pressures depending o
Externí odkaz:
http://arxiv.org/abs/2410.17626
Large Language Models (LLMs) have demonstrated impressive abilities in symbol processing through in-context learning (ICL). This success flies in the face of decades of predictions that artificial neural networks cannot master abstract symbol manipul
Externí odkaz:
http://arxiv.org/abs/2410.17498
Autor:
That, Khai Ton, Xu, Chang, Ioannidis, Ioannis, Schneider, Lucas, Posske, Thore, Wiesendanger, Roland, Morr, Dirk K., Wiebe, Jens
Probing spatially confined quantum states from afar - a long-sought goal to minimize external interference - has been proposed to be achievable in condensed matter systems via coherent projection. The latter can be tailored by sculpturing the eigenst
Externí odkaz:
http://arxiv.org/abs/2410.16054
Autor:
Mellet, Julien, Allenspach, Mike, Cuniato, Eugenio, Pacchierotti, Claudio, Siegwart, Roland, Tognon, Marco
Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance. While the p
Externí odkaz:
http://arxiv.org/abs/2410.15398
Autor:
Klimek, Anton, Heyn, Johannes C. J., Mondal, Debasmita, Schwartz, Sophia, Rädler, Joachim O., Sharma, Prerna, Block, Stephan, Netz, Roland R.
When analyzing the individual positional dynamics of an ensemble of moving objects, the extracted parameters that characterize the motion of individual objects, such as the mean-squared instantaneous velocity or the diffusivity, exhibit a spread that
Externí odkaz:
http://arxiv.org/abs/2410.14561
Autor:
Filip, Jiri, Dechterenko, Filip, Schmidt, Filipp, Lukavsky, Jiri, Vilimovska, Veronika, Kotera, Jan, Fleming, Roland W.
The world is abundant with diverse materials, each possessing unique surface appearances that play a crucial role in our daily perception and understanding of their properties. Despite advancements in technology enabling the capture and realistic rep
Externí odkaz:
http://arxiv.org/abs/2410.13615
Autor:
Hinz, Yannik, Böhmer, Roland
The impact of hydration on the reorientational dynamics of the deep eutectic solvent (DES) ethaline, a 2:1 molar mixture of ethylene glycol and choline chloride was studied. Its overall response was explored by means of shear mechanical rheology. To
Externí odkaz:
http://arxiv.org/abs/2410.11447