Zobrazeno 1 - 10
of 16 610
pro vyhledávání: '"P. Picard"'
Autor:
Pu, Isabella, Nguyen, Golda, Alsultan, Lama, Picard, Rosalind, Breazeal, Cynthia, Alghowinem, Sharifa
Social-emotional learning (SEL) skills are essential for children to develop to provide a foundation for future relational and academic success. Using art as a medium for creation or as a topic to provoke conversation is a well-known method of SEL le
Externí odkaz:
http://arxiv.org/abs/2409.10710
An automata network with $n$ components over a finite alphabet $Q$ of size $q$ is a discrete dynamical system described by the successive iterations of a function $f:Q^n\to Q^n$. In most applications, the main parameter is the interaction graph of $f
Externí odkaz:
http://arxiv.org/abs/2409.08041
We consider the problem of estimating the direction-of-arrival (DoA) of a desired source located in a known region of interest in the presence of interfering sources and multipath. We propose an approach that precedes the DoA estimation and relies on
Externí odkaz:
http://arxiv.org/abs/2409.07782
We study the cohomology of an elliptic differential complex arising from the infinitesimal moduli of heterotic string theory. We compute these cohomology groups at the standard embedding, and show that they decompose into a direct sum of cohomologies
Externí odkaz:
http://arxiv.org/abs/2409.04350
We introduce a novel approach for 3D whole-body pose estimation, addressing the challenge of scale- and deformability- variance across body parts brought by the challenge of extending the 17 major joints on the human body to fine-grained keypoints on
Externí odkaz:
http://arxiv.org/abs/2407.10220
Autor:
Picard, Lewis R. B., Park, Annie J., Patenotte, Gabriel E., Gebretsadkan, Samuel, Wellnitz, David, Rey, Ana Maria, Ni, Kang-Kuen
Quantum computation (QC) and simulation rely on long-lived qubits with controllable interactions. Early work in quantum computing made use of molecules because of their readily available intramolecular nuclear spin coupling and chemical shifts, along
Externí odkaz:
http://arxiv.org/abs/2406.15345
Conditional diffusion models are powerful generative models that can leverage various types of conditional information, such as class labels, segmentation masks, or text captions. However, in many real-world scenarios, conditional information may be
Externí odkaz:
http://arxiv.org/abs/2405.20324
Uncertainty quantification is critical for ensuring adequate predictive power of computational models used in biology. Focusing on two anaerobic digestion models, this article introduces a novel generalized Bayesian procedure, called VarBUQ, ensuring
Externí odkaz:
http://arxiv.org/abs/2405.19824
Kernel-based testing has revolutionized the field of non-parametric tests through the embedding of distributions in an RKHS. This strategy has proven to be powerful and flexible, yet its applicability has been limited to the standard two-sample case,
Externí odkaz:
http://arxiv.org/abs/2405.13799
We introduce a novel statistical framework for the analysis of replicated point processes that allows for the study of point pattern variability at a population level. By treating point process realizations as random measures, we adopt a functional a
Externí odkaz:
http://arxiv.org/abs/2404.19661