Zobrazeno 1 - 10
of 13 223
pro vyhledávání: '"Lengyel A"'
This paper examines the application of the Kernel Sum of Squares (KSOS) method for enhancing kernel learning from data, particularly in the context of dynamical systems. Traditional kernel-based methods, despite their theoretical soundness and numeri
Externí odkaz:
http://arxiv.org/abs/2408.06465
Autor:
Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan
The fourth edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" workshop features two data-impaired challenges. These challenges address the problem of training deep learning models for computer vision tasks with limite
Externí odkaz:
http://arxiv.org/abs/2406.18176
Autor:
Ecsedi István, Lengyel Ákos József
Publikováno v:
Curved and Layered Structures, Vol 6, Iss 1, Pp 181-191 (2019)
An analytical solution is presented for the determination of the deformation of rotating two-layer composite beams. The direction of axis of rotation is vertical and the speed of rotation is constant. The axis of rotation is in the plane of symmetry
Externí odkaz:
https://doaj.org/article/f815cd1fd2334ec998579d4af5522dbf
Autor:
Ecsedi István, Lengyel Ákos József
Publikováno v:
Curved and Layered Structures, Vol 6, Iss 1, Pp 105-116 (2019)
An analytical solution is presented for the determination of deformation of curved composite beams. Each cross-section is assumed to be symmetrical and the applied loads are acted in the plane of symmetry of curved beam. In-plane deformations are con
Externí odkaz:
https://doaj.org/article/f2bf090f3e444d448ee9f7d521f3cfb8
Autor:
Jiang, Albert Q., Sablayrolles, Alexandre, Roux, Antoine, Mensch, Arthur, Savary, Blanche, Bamford, Chris, Chaplot, Devendra Singh, Casas, Diego de las, Hanna, Emma Bou, Bressand, Florian, Lengyel, Gianna, Bour, Guillaume, Lample, Guillaume, Lavaud, Lélio Renard, Saulnier, Lucile, Lachaux, Marie-Anne, Stock, Pierre, Subramanian, Sandeep, Yang, Sophia, Antoniak, Szymon, Scao, Teven Le, Gervet, Théophile, Lavril, Thibaut, Wang, Thomas, Lacroix, Timothée, Sayed, William El
We introduce Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model. Mixtral has the same architecture as Mistral 7B, with the difference that each layer is composed of 8 feedforward blocks (i.e. experts). For every token, at each layer, a r
Externí odkaz:
http://arxiv.org/abs/2401.04088
Autor:
Pintér, Gergő, Lengyel, Balázs
Barriers in cities, such as administrative boundaries, natural obstacles, railways or major roads are thought to induce segregation. However, the empirical knowledge about this phenomenon is limited. Here, we present a network science framework to as
Externí odkaz:
http://arxiv.org/abs/2312.11343
Social capital may help individuals maintain their mental health. Most empirical work based on small-scale surveys finds that bonding social capital and cohesive social networks are critical for mental well-being, while bridging social capital and di
Externí odkaz:
http://arxiv.org/abs/2311.14209
Autor:
Lengyel, Attila, Strafforello, Ombretta, Bruintjes, Robert-Jan, Gielisse, Alexander, van Gemert, Jan
Color is a crucial visual cue readily exploited by Convolutional Neural Networks (CNNs) for object recognition. However, CNNs struggle if there is data imbalance between color variations introduced by accidental recording conditions. Color invariance
Externí odkaz:
http://arxiv.org/abs/2310.19368
Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation
The simplex gradient, a popular numerical differentiation method due to its flexibility, lacks a principled method by which to construct the sample set, specifically the location of function evaluations. Such evaluations, especially from real-world s
Externí odkaz:
http://arxiv.org/abs/2310.12712
Autor:
Jiang, Albert Q., Sablayrolles, Alexandre, Mensch, Arthur, Bamford, Chris, Chaplot, Devendra Singh, Casas, Diego de las, Bressand, Florian, Lengyel, Gianna, Lample, Guillaume, Saulnier, Lucile, Lavaud, Lélio Renard, Lachaux, Marie-Anne, Stock, Pierre, Scao, Teven Le, Lavril, Thibaut, Wang, Thomas, Lacroix, Timothée, Sayed, William El
We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across all evaluated benchmarks, and Llama 1 34B in reasoning, mathematics, and code generation.
Externí odkaz:
http://arxiv.org/abs/2310.06825