Zobrazeno 1 - 10
of 2 729
pro vyhledávání: '"Achterberg P"'
Methods for analyzing representations in neural systems have become a popular tool in both neuroscience and mechanistic interpretability. Having measures to compare how similar activations of neurons are across conditions, architectures, and species,
Externí odkaz:
http://arxiv.org/abs/2410.24070
In this paper, we focus on Dynamic Execution techniques that optimize the computation flow based on input. This aims to identify simpler problems that can be solved using fewer resources, similar to human cognition. The techniques discussed include e
Externí odkaz:
http://arxiv.org/abs/2411.00853
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience. Spatially embedded recurrent neural networks provide a promising avenue to study how modelled constraints shape the combined structural
Externí odkaz:
http://arxiv.org/abs/2409.17693
Autor:
van Dijk, Bram, Islam, Saif ul, Achterberg, Jim, Waseem, Hafiz Muhammad, Gallos, Parisis, Epiphaniou, Gregory, Maple, Carsten, Haas, Marcel, Spruit, Marco
Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due to privacy-related constraints on sharing data in healthcare contexts.
Externí odkaz:
http://arxiv.org/abs/2409.00701
Autor:
He, Zhonghao, Achterberg, Jascha, Collins, Katie, Nejad, Kevin, Akarca, Danyal, Yang, Yinzhu, Gurnee, Wes, Sucholutsky, Ilia, Tang, Yuhan, Ianov, Rebeca, Ogden, George, Li, Chole, Sandbrink, Kai, Casper, Stephen, Ivanova, Anna, Lindsay, Grace W.
As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this problem is not new: Neuroscientists and cognitive scientists have accumul
Externí odkaz:
http://arxiv.org/abs/2408.12664
We propose a generalization of the adaptive N-Intertwined Mean-Field Approximation (aNIMFA) model studied in \emph{Achterberg and Sensi} \cite{achterbergsensi2022adaptive} to a heterogeneous network of communities. In particular, the multigroup aNIMF
Externí odkaz:
http://arxiv.org/abs/2407.17639
Autor:
J. Krause, D. Carroll, J. Höfer, J. Donaire, E. P. Achterberg, E. Alarcón, T. Liu, L. Meire, K. Zhu, M. J. Hopwood
Publikováno v:
The Cryosphere, Vol 18, Pp 5735-5752 (2024)
Ice calved from the Antarctic and Greenland ice sheets or tidewater glaciers ultimately melts in the ocean, contributing to sea-level rise and potentially affecting marine biogeochemistry. Icebergs have been described as ocean micronutrient fertilizi
Externí odkaz:
https://doaj.org/article/801e9eaa06cc4448a3e586ced391abbf
Publikováno v:
Journal of Hymenoptera Research, Vol 97, Iss , Pp 1285-1299 (2024)
The species of two genera (Bicarinibracon Quicke & Walker and Chelonogastra Ashmead) of the subfamily Braconinae (Hymenoptera, Braconidae) from China are reviewed and 6 species are recognized, including 2 new species (Bicarinibracon concolor sp. nov.
Externí odkaz:
https://doaj.org/article/805bcb7d86824c9db35a82b9d08e0d7c
Publikováno v:
ZooKeys, Vol 1217, Iss , Pp 173-193 (2024)
Five new species of the genus Phaenocarpa Foester, 1863 (Braconidae: Alysiinae) are described and illustrated: P. acutidentata Sohn & van Achterberg, sp. nov., P. tacitoides Sohn & van Achterberg, sp. nov., P. setosa Sohn & van Achterberg, sp. nov.,
Externí odkaz:
https://doaj.org/article/372c5af924564c02a5564eb360ab4ba7
Autor:
Sucholutsky, Ilia, Muttenthaler, Lukas, Weller, Adrian, Peng, Andi, Bobu, Andreea, Kim, Been, Love, Bradley C., Cueva, Christopher J., Grant, Erin, Groen, Iris, Achterberg, Jascha, Tenenbaum, Joshua B., Collins, Katherine M., Hermann, Katherine L., Oktar, Kerem, Greff, Klaus, Hebart, Martin N., Cloos, Nathan, Kriegeskorte, Nikolaus, Jacoby, Nori, Zhang, Qiuyi, Marjieh, Raja, Geirhos, Robert, Chen, Sherol, Kornblith, Simon, Rane, Sunayana, Konkle, Talia, O'Connell, Thomas P., Unterthiner, Thomas, Lampinen, Andrew K., Müller, Klaus-Robert, Toneva, Mariya, Griffiths, Thomas L.
Biological and artificial information processing systems form representations of the world that they can use to categorize, reason, plan, navigate, and make decisions. How can we measure the similarity between the representations formed by these dive
Externí odkaz:
http://arxiv.org/abs/2310.13018