Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Juhos P"'
Autor:
Reizinger, Patrik, Bizeul, Alice, Juhos, Attila, Vogt, Julia E., Balestriero, Randall, Brendel, Wieland, Klindt, David
Supervised learning has become a cornerstone of modern machine learning, yet a comprehensive theory explaining its effectiveness remains elusive. Empirical phenomena, such as neural analogy-making and the linear representation hypothesis, suggest tha
Externí odkaz:
http://arxiv.org/abs/2410.21869
Autor:
Mayilvahanan, Prasanna, Zimmermann, Roland S., Wiedemer, Thaddäus, Rusak, Evgenia, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Out-of-Domain (OOD) generalization is the ability of a model trained on one or more domains to generalize to unseen domains. In the ImageNet era of computer vision, evaluation sets for measuring a model's OOD performance were designed to be strictly
Externí odkaz:
http://arxiv.org/abs/2410.08258
Autor:
Rusak, Evgenia, Reizinger, Patrik, Juhos, Attila, Bringmann, Oliver, Zimmermann, Roland S., Brendel, Wieland
Previous theoretical work on contrastive learning (CL) with InfoNCE showed that, under certain assumptions, the learned representations uncover the ground-truth latent factors. We argue these theories overlook crucial aspects of how CL is deployed in
Externí odkaz:
http://arxiv.org/abs/2407.00143
The study of Schatten classes has a long tradition in geometric functional analysis and related fields. In this paper we study a variety of geometric and probabilistic aspects of finite-dimensional Schatten classes of not necessarily square matrices.
Externí odkaz:
http://arxiv.org/abs/2404.07145
In this paper we take a probabilistic look at Maclaurin's inequality, which is a refinement of the classical AM-GM inequality. In a natural randomized setting, we obtain limit theorems and show that a reverse inequality holds with high probability. T
Externí odkaz:
http://arxiv.org/abs/2312.12134
Autor:
Wiedemer, Thaddäus, Brady, Jack, Panfilov, Alexander, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Learning representations that generalize to novel compositions of known concepts is crucial for bridging the gap between human and machine perception. One prominent effort is learning object-centric representations, which are widely conjectured to en
Externí odkaz:
http://arxiv.org/abs/2310.05327
Autor:
Peter Zoltan Bogar, Mark Virag, Matyas Bene, Peter Hardi, Andras Matuz, Adam Tibor Schlegl, Luca Toth, Ferenc Molnar, Balint Nagy, Szilard Rendeki, Krisztina Berner-Juhos, Andrea Ferencz, Krisztina Fischer, Peter Maroti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Simulators are widely used in medical education, but objective and automatic assessment is not feasible with low-fidelity simulators, which can be solved with artificial intelligence (AI) and virtual reality (VR) solutions. The effectiveness
Externí odkaz:
https://doaj.org/article/476bc25897064fec979e907952a61397
Let $p, q \in (0, \infty]$ and $\ell_p^m(\ell_q^n)$ be the mixed-norm sequence space of real matrices $x = (x_{i, j})_{i \leq m, j \leq n}$ endowed with the (quasi-)norm $\Vert x \Vert_{p, q} := \big\Vert \big( \Vert (x_{i, j})_{j \leq n} \Vert_q \bi
Externí odkaz:
http://arxiv.org/abs/2209.08937
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 7, Iss 2, Pp n/a-n/a (2024)
Abstract In recent years, many alternative bio‐waste‐based fertilizers have been proven to have a beneficial effect on plant nutrition. These also include wool pellet, whose comprehensive evaluation of synergistic effects on plant development and
Externí odkaz:
https://doaj.org/article/4c7dd031769a40538fc14d328af7a092
Autor:
Juhos, Attila
X-ray computed tomographic infrastructures are medical imaging modalities that rely on the acquisition of rays crossing examined objects while measuring their intensity decrease. Physical measurements are post-processed by mathematical reconstruction
Externí odkaz:
http://arxiv.org/abs/2201.09132