Zobrazeno 1 - 10
of 86 751
pro vyhledávání: '"A, Mohr"'
Autor:
Azeem, Muqsit, Chakraborty, Debraj, Kanav, Sudeep, Kretinsky, Jan, Mohagheghi, Mohammadsadegh, Mohr, Stefanie, Weininger, Maximilian
Despite the advances in probabilistic model checking, the scalability of the verification methods remains limited. In particular, the state space often becomes extremely large when instantiating parameterized Markov decision processes (MDPs) even wit
Externí odkaz:
http://arxiv.org/abs/2410.18293
Autor:
Mohr, Rafael
Based on a theorem by Vasconcelos, we give an algorithm for equidimensional decomposition of algebraic sets using syzygy computations via Gr\"obner bases. This algorithm avoids the use of elimination, homological algebra and processing the input equa
Externí odkaz:
http://arxiv.org/abs/2409.17785
Autor:
Bhattacharjee, Ananya, Xu, Sarah Yi, Rao, Pranav, Zeng, Yuchen, Meyerhoff, Jonah, Ahmed, Syed Ishtiaque, Mohr, David C, Liut, Michael, Mariakakis, Alex, Kornfield, Rachel, Williams, Joseph Jay
Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' experiences. In this work, we employ large language models (LLMs) to create
Externí odkaz:
http://arxiv.org/abs/2409.16732
Autor:
Kerner, Hannah, Chaudhari, Snehal, Ghosh, Aninda, Robinson, Caleb, Ahmad, Adeel, Choi, Eddie, Jacobs, Nathan, Holmes, Chris, Mohr, Matthias, Dodhia, Rahul, Ferres, Juan M. Lavista, Marcus, Jennifer
Crop field boundaries are foundational datasets for agricultural monitoring and assessments but are expensive to collect manually. Machine learning (ML) methods for automatically extracting field boundaries from remotely sensed images could help real
Externí odkaz:
http://arxiv.org/abs/2409.16252
Autor:
Vogt, S. M. L., Bocquet, S., Davies, C. T., Mohr, J. J., Schmidt, F., Ruan, C. -Z., Li, B., Hernández-Aguayo, C., Grandis, S., Bleem, L. E., Klein, M., Schrabback, T., Aguena, M., Brooks, D., Burke, D. L., Campos, A., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Hinton, S. R., Hollowood, D. L., Lee, S., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Paterno, M., Pieres, A., Malagón, A. A. Plazas, Reichardt, C. L., Romer, A. K., Samuroff, S., Sarkar, A., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., Weaverdyck, N., Weller, J.
We present constraints on the $f(R)$ gravity model using a sample of 1,005 galaxy clusters in the redshift range $0.25 - 1.78$ that have been selected through the thermal Sunyaev-Zel'dovich effect (tSZE) from South Pole Telescope (SPT) data and subje
Externí odkaz:
http://arxiv.org/abs/2409.13556
Autor:
Mohr, Johannes, Aryana, Kiumars, Islam, Md. Rafiqul, Wouters, Dirk J., Waser, Rainer, Hopkins, Patrick E., Nag, Joyeeta, Bedau, Daniel
Understanding the thermal conductivity of chromium doped V2O3 is crucial for optimizing the design of selectors for memory and neuromorphic devices. We utilized the time-domain thermoreflectance technique to measure the thermal conductivity of chromi
Externí odkaz:
http://arxiv.org/abs/2409.10748
Autor:
Sturua, Saba, Mohr, Isabelle, Akram, Mohammad Kalim, Günther, Michael, Wang, Bo, Krimmel, Markus, Wang, Feng, Mastrapas, Georgios, Koukounas, Andreas, Wang, Nan, Xiao, Han
We introduce jina-embeddings-v3, a novel text embedding model with 570 million parameters, achieves state-of-the-art performance on multilingual data and long-context retrieval tasks, supporting context lengths of up to 8192 tokens. The model include
Externí odkaz:
http://arxiv.org/abs/2409.10173
This paper proposes a turbo equalizer for intersymbol interference channels (ISI) that uses coarsely quantized messages across all receiver components. Lookup tables (LUTs) carry out compression operations designed with the information bottleneck met
Externí odkaz:
http://arxiv.org/abs/2409.09004
Many use cases require retrieving smaller portions of text, and dense vector-based retrieval systems often perform better with shorter text segments, as the semantics are less likely to be over-compressed in the embeddings. Consequently, practitioner
Externí odkaz:
http://arxiv.org/abs/2409.04701
Autor:
Mohr, Marcus
Using standard components of modern Fortran we present a technique to dynamically generate strings with as little coding overhead as possible on the application side. Additionally we demonstrate how this can be extended to allow for output generation
Externí odkaz:
http://arxiv.org/abs/2409.03397