Zobrazeno 1 - 10
of 33 083
pro vyhledávání: '"P. Kristian"'
Autor:
Boachon, Benoît, Lynch, Joseph, Ray, Shaunak, Yuan, Jing, Caldo, Kristian Mark P., Junker, Robert, Kessler, Sharon A., Morgan, John A., Dudareva, Natalia
Publikováno v:
Nature Chemical Biology, 2019, 15 (6), pp.583-588
Plants synthesize volatile organic compounds (VOCs) to attract pollinators and beneficial microorganisms, to defend themselves against herbivores and pathogens and for plant-plant communication. Generally, accumulation and emission of VOCs occur from
Externí odkaz:
http://arxiv.org/abs/2409.13270
We study the variety $\rm{VAPS}_G(q_2^3, 10)$ (resp. $\rm{VAPS}_G(q_3^2, 10)$), a Grassmannian compactification of the variety of finite schemes of length $10$ apolar to $q_{2}^3$ (resp. $q_3^2$), where $\{q_{n} = 0\}\subset \mathbb P^{n} $ is a smoo
Externí odkaz:
http://arxiv.org/abs/2409.13352
Many existing fairness metrics measure group-wise demographic disparities in system behavior or model performance. Calculating these metrics requires access to demographic information, which, in industrial settings, is often unavailable. By contrast,
Externí odkaz:
http://arxiv.org/abs/2409.08135
Autor:
Dycke, Nils, Zečević, Matej, Kuznetsov, Ilia, Suess, Beatrix, Kersting, Kristian, Gurevych, Iryna
Diagnostic reasoning is a key component of expert work in many domains. It is a hard, time-consuming activity that requires expertise, and AI research has investigated the ways automated systems can support this process. Yet, due to the complexity of
Externí odkaz:
http://arxiv.org/abs/2409.05367
Deep sequence models are receiving significant interest in current machine learning research. By representing probability distributions that are fit to data using maximum likelihood estimation, such models can model data on general observation spaces
Externí odkaz:
http://arxiv.org/abs/2409.04120
Autor:
Benford, Alistair, Lehre, Per Kristian
Due to their complex dynamics, combinatorial games are a key test case and application for algorithms that train game playing agents. Among those algorithms that train using self-play are coevolutionary algorithms (CoEAs). CoEAs evolve a population o
Externí odkaz:
http://arxiv.org/abs/2409.04177
In this study we provide empirical evidence demonstrating that the quality of training data impacts model performance in Human Pose Estimation (HPE). Inaccurate labels in widely used data sets, ranging from minor errors to severe mislabeling, can neg
Externí odkaz:
http://arxiv.org/abs/2409.03887
The classical trisecant lemma says that a general chord of a non-degenerate space curve is not a trisecant; that is, the chord only meets the curve in two points. The generalized trisecant lemma extends the result to higher-dimensional varieties. It
Externí odkaz:
http://arxiv.org/abs/2409.01356
Video deblurring aims at recovering sharp details from a sequence of blurry frames. Despite the proliferation of depth sensors in mobile phones and the potential of depth information to guide deblurring, depth-aware deblurring has received only limit
Externí odkaz:
http://arxiv.org/abs/2409.01274
Autor:
Nguyen, Tuong Vy, Hoster, Johannes, Glaser, Alexander, Hildebrand, Kristian, Biessmann, Felix
Generative deep learning architectures can produce realistic, high-resolution fake imagery -- with potentially drastic societal implications. A key question in this context is: How easy is it to generate realistic imagery, in particular for niche dom
Externí odkaz:
http://arxiv.org/abs/2409.01138