Zobrazeno 1 - 10
of 43 707
pro vyhledávání: '"Koller, A."'
Autor:
Cacciapuoti, L., Busso, A., Jansen, R., Pataraia, S., Peignier, T., Weinberg, S., Crescence, P., Helm, A., Kehrer, J., Koller, S., Lachaud, R., Niedermaier, T., Esnault, F. -X., Massonnet, D., Goujon, D., Pittet, J., Perri, A., Wang, Q., Liu, S., Schaefer, W., Schwall, T., Prochazka, I., Schlicht, A., Schreiber, U., Laurent, P., Lilley, M., Wolf, P., Salomon, C.
The Atomic Clock Ensemble in Space (ACES) mission is developing high performance clocks and links for space to test Einstein's theory of general relativity. From the International Space Station, the ACES payload will distribute a clock signal with fr
Externí odkaz:
http://arxiv.org/abs/2411.02912
Autor:
Hartmann, Mareike, Koller, Alexander
Goal-directed interactive agents, which autonomously complete tasks through interactions with their environment, can assist humans in various domains of their daily lives. Recent advances in large language models (LLMs) led to a surge of new, more an
Externí odkaz:
http://arxiv.org/abs/2409.18538
Phonocardiography has recently gained popularity in low-cost and remote monitoring, including passive fetal heart monitoring. Development for methods which analyse phonocardiographical data try to capitalize on this opportunity, and in recent years a
Externí odkaz:
http://arxiv.org/abs/2408.12966
Reinforcement learning often uses neural networks to solve complex control tasks. However, neural networks are sensitive to input perturbations, which makes their deployment in safety-critical environments challenging. This work lifts recent results
Externí odkaz:
http://arxiv.org/abs/2408.09112
We introduce Modelizer - a novel framework that, given a black-box program, learns a _model from its input/output behavior_ using _neural machine translation_. The resulting model _mocks_ the original program: Given an input, the model predicts the o
Externí odkaz:
http://arxiv.org/abs/2407.08597
Models need appropriate inductive biases to effectively learn from small amounts of data and generalize systematically outside of the training distribution. While Transformers are highly versatile and powerful, they can still benefit from enhanced st
Externí odkaz:
http://arxiv.org/abs/2407.04543
Publikováno v:
EMNLP2024
Discourse Representation Theory (DRT) distinguishes itself from other semantic representation frameworks by its ability to model complex semantic and discourse phenomena through structural nesting and variable binding. While seq2seq models hold the s
Externí odkaz:
http://arxiv.org/abs/2407.01899
Autor:
Koller, M., Ziegler, B., Ciocan, B. I., Thater, S., Mendel, J. T., Wisnioski, E., Battisti, A. J., Harborne, K. E., Foster, C., Lagos, C., Croom, S. M., Grasha, K., Papaderos, P., Remus, R. S., Sharma, G., Sweet, S. M., Valenzuela, L. M., van de Ven, G., Zafar, T.
Publikováno v:
A&A 689, A315 (2024)
Star formation rates (SFRs), gas-phase metallicities, and stellar masses are crucial for studying galaxy evolution. The different relations resulting from these properties give insights into the complex interplay of gas inside galaxies and their evol
Externí odkaz:
http://arxiv.org/abs/2406.20017
Autor:
Koller, Martin, Cizek, Jan, Janovská, Michaela, Ševčík, Martin, Kondas, Jan, Singh, Reeti, Seiner, Hanuš
Publikováno v:
Journal of Thermal Spray Technology, 33 (6), pp. 1941-1954 (2024)
The effect of non-planar substrate surface on homogeneity and quality of cold sprayed (CS) deposits was studied by scanning acoustic microscopy (SAM). Fe coatings were cold sprayed onto Al substrates containing artificially introduced grooves of squa
Externí odkaz:
http://arxiv.org/abs/2406.19822
Autor:
Bavaresco, Anna, Bernardi, Raffaella, Bertolazzi, Leonardo, Elliott, Desmond, Fernández, Raquel, Gatt, Albert, Ghaleb, Esam, Giulianelli, Mario, Hanna, Michael, Koller, Alexander, Martins, André F. T., Mondorf, Philipp, Neplenbroek, Vera, Pezzelle, Sandro, Plank, Barbara, Schlangen, David, Suglia, Alessandro, Surikuchi, Aditya K, Takmaz, Ece, Testoni, Alberto
There is an increasing trend towards evaluating NLP models with LLM-generated judgments instead of human judgments. In the absence of a comparison against human data, this raises concerns about the validity of these evaluations; in case they are cond
Externí odkaz:
http://arxiv.org/abs/2406.18403