Zobrazeno 1 - 10
of 2 942
pro vyhledávání: '"Huszar A"'
Autor:
Bonnet, Édouard, Huszár, Kristóf
Building on Whitney's classical method of triangulating smooth manifolds, we show that every compact $d$-dimensional smooth manifold admits a triangulation with dual graph of twin-width at most $d^{O(d)}$. In particular, it follows that every compact
Externí odkaz:
http://arxiv.org/abs/2407.10174
Identifying latent representations or causal structures is important for good generalization and downstream task performance. However, both fields have been developed rather independently. We observe that several methods in both representation and ca
Externí odkaz:
http://arxiv.org/abs/2406.14302
We study causal effect estimation in a setting where the data are not i.i.d. (independent and identically distributed). We focus on exchangeable data satisfying an assumption of independent causal mechanisms. Traditional causal effect estimation fram
Externí odkaz:
http://arxiv.org/abs/2405.18836
Autor:
Guo, Siyuan, Didolkar, Aniket, Ke, Nan Rosemary, Goyal, Anirudh, Huszár, Ferenc, Schölkopf, Bernhard
We are beginning to see progress in language model assisted scientific discovery. Motivated by the use of LLMs as a general scientific assistant, this paper assesses the domain knowledge of LLMs through its understanding of different mathematical ski
Externí odkaz:
http://arxiv.org/abs/2405.15485
Autor:
Lee, Royson, Fernandez-Marques, Javier, Hu, Shell Xu, Li, Da, Laskaridis, Stefanos, Dudziak, Łukasz, Hospedales, Timothy, Huszár, Ferenc, Lane, Nicholas D.
Federated learning (FL) has enabled distributed learning of a model across multiple clients in a privacy-preserving manner. One of the main challenges of FL is to accommodate clients with varying hardware capacities; clients have differing compute an
Externí odkaz:
http://arxiv.org/abs/2405.14791
Autor:
Reizinger, Patrik, Ujváry, Szilvia, Mészáros, Anna, Kerekes, Anna, Brendel, Wieland, Huszár, Ferenc
The last decade has seen blossoming research in deep learning theory attempting to answer, "Why does deep learning generalize?" A powerful shift in perspective precipitated this progress: the study of overparametrized models in the interpolation regi
Externí odkaz:
http://arxiv.org/abs/2405.01964
Autor:
Lee, Royson, Kim, Minyoung, Li, Da, Qiu, Xinchi, Hospedales, Timothy, Huszár, Ferenc, Lane, Nicholas D.
Federated learning (FL) research has made progress in developing algorithms for distributed learning of global models, as well as algorithms for local personalization of those common models to the specifics of each client's local data distribution. H
Externí odkaz:
http://arxiv.org/abs/2310.02420
Autor:
Nicole Eichert, Jordan DeKraker, Amy F. D. Howard, Istvan N. Huszar, Silei Zhu, Jérôme Sallet, Karla L. Miller, Rogier B. Mars, Saad Jbabdi, Boris C. Bernhardt
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract While the hippocampus is key for human cognitive abilities, it is also a phylogenetically old cortex and paradoxically considered evolutionarily preserved. Here, we introduce a comparative framework to quantify preservation and reconfigurati
Externí odkaz:
https://doaj.org/article/c8220ed37d814351b29baefa91a38ab3
Autor:
Huszár, Kristóf, Spreer, Jonathan
Publikováno v:
39th International Symposium on Computational Geometry (SoCG 2023). Leibniz International Proceedings in Informatics (LIPIcs), vol. 129, pg. 42:1-42:18, 2023
Motivated by the algorithmic study of 3-dimensional manifolds, we explore the structural relationship between the JSJ decomposition of a given 3-manifold and its triangulations. Building on work of Bachman, Derby-Talbot and Sedgwick, we show that a "
Externí odkaz:
http://arxiv.org/abs/2303.06789
Autor:
Lee, Royson, Li, Rui, Venieris, Stylianos I., Hospedales, Timothy, Huszár, Ferenc, Lane, Nicholas D.
Recent image degradation estimation methods have enabled single-image super-resolution (SR) approaches to better upsample real-world images. Among these methods, explicit kernel estimation approaches have demonstrated unprecedented performance at han
Externí odkaz:
http://arxiv.org/abs/2212.07886