Zobrazeno 1 - 10
of 9 386
pro vyhledávání: '"Bruinsma, A."'
Autor:
Bruinsma, Bastiaan, Fredén, Annika, Hansson, Kajsa, Johansson, Moa, Kisić-Merino, Pasko, Saynova, Denitsa
This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is lea
Externí odkaz:
http://arxiv.org/abs/2409.16946
Autor:
Bruinsma, Wessel P.
Neural processes are a family of models which use neural networks to directly parametrise a map from data sets to predictions. Directly parametrising this map enables the use of expressive neural networks in small-data problems where neural networks
Externí odkaz:
http://arxiv.org/abs/2408.09583
Autor:
Lin, Chen, Bruinsma, Robijn
Active liquid-liquid phase separation (LLPS) in a confining environment is believed to play an important role in cell biology. Recently, it was shown that when active noise at the microscopic level is included in the classical theory of nucleation an
Externí odkaz:
http://arxiv.org/abs/2408.07876
Equivariant deep learning architectures exploit symmetries in learning problems to improve the sample efficiency of neural-network-based models and their ability to generalise. However, when modelling real-world data, learning problems are often not
Externí odkaz:
http://arxiv.org/abs/2406.13488
Autor:
Ashman, Matthew, Diaconu, Cristiana, Kim, Junhyuck, Sivaraya, Lakee, Markou, Stratis, Requeima, James, Bruinsma, Wessel P., Turner, Richard E.
The effectiveness of neural processes (NPs) in modelling posterior prediction maps -- the mapping from data to posterior predictive distributions -- has significantly improved since their inception. This improvement can be attributed to two principal
Externí odkaz:
http://arxiv.org/abs/2406.12409
Autor:
Räisä, Ossi, Markou, Stratis, Ashman, Matthew, Bruinsma, Wessel P., Tobaben, Marlon, Honkela, Antti, Turner, Richard E.
Many high-stakes applications require machine learning models that protect user privacy and provide well-calibrated, accurate predictions. While Differential Privacy (DP) is the gold standard for protecting user privacy, standard DP mechanisms typica
Externí odkaz:
http://arxiv.org/abs/2406.08569
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan, Dong, Haiyu, Vaughan, Anna, Gupta, Jayesh K., Tambiratnam, Kit, Archibald, Alex, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Deep learning foundation models are revolutionizing many facets of science by leveraging vast amounts of data to learn general-purpose representations that can be adapted to tackle diverse downstream tasks. Foundation models hold the promise to also
Externí odkaz:
http://arxiv.org/abs/2405.13063
Autor:
Vaughan, Anna, Markou, Stratis, Tebbutt, Will, Requeima, James, Bruinsma, Wessel P., Andersson, Tom R., Herzog, Michael, Lane, Nicholas D., Chantry, Matthew, Hosking, J. Scott, Turner, Richard E.
Weather forecasting is critical for a range of human activities including transportation, agriculture, industry, as well as the safety of the general public. Machine learning models have the potential to transform the complex weather prediction pipel
Externí odkaz:
http://arxiv.org/abs/2404.00411
Autor:
Rixt S. Bruinsma, Marta F. Fiocco, Wendy W. J. de Leng, Lennart A. Kester, Karin P. S. Langenberg, Godelieve A. M. Tytgat, Max M. van Noesel, Marc H. W. A. Wijnen, Alida F. W. van der Steeg, Ronald R. de Krijger
Publikováno v:
Journal of Molecular Pathology, Vol 5, Iss 3, Pp 304-318 (2024)
ALK is related to poor survival in neuroblastoma patients. We investigated the prognostic relevance of ALK mRNA expression and the relationship with ALK immunohistochemical expression, histological subtype and ALK aberrations. Whole transcriptome seq
Externí odkaz:
https://doaj.org/article/7650c5ee68724d7986d26e5dc5cc04ca
This paper studies the universal first-order Massey product of a prefactorization algebra, which encodes higher algebraic operations on the cohomology. Explicit computations of these structures are carried out in the locally constant case, with appli
Externí odkaz:
http://arxiv.org/abs/2307.04856