Zobrazeno 1 - 10
of 1 948
pro vyhledávání: '"P. Giannakis"'
Autor:
Giannakis, Iraklis, Warren, Craig, Giannopoulos, Antonios, Leontidis, Georgios, Su, Yan, Zhou, Feng, Martin-Torres, Javier, Diamanti, Nectaria
Ground-penetrating radar (GPR) is a mature geophysical method that has gained increasing popularity in planetary science over the past decade. GPR has been utilised both for Lunar and Martian missions providing pivotal information regarding the near
Externí odkaz:
http://arxiv.org/abs/2410.14386
The Gaussian process (GP) is a Bayesian nonparametric paradigm that is widely adopted for uncertainty quantification (UQ) in a number of safety-critical applications, including robotics, healthcare, as well as surveillance. The consistency of the res
Externí odkaz:
http://arxiv.org/abs/2410.05444
Autor:
Valva, Claire, Giannakis, Dimitrios
Koopman operators and transfer operators represent nonlinear dynamics in state space through its induced action on linear spaces of observables and measures, respectively. This framework enables the use of linear operator theory for supervised and un
Externí odkaz:
http://arxiv.org/abs/2408.05663
One of the primary catalysts fueling advances in artificial intelligence (AI) and machine learning (ML) is the availability of massive, curated datasets. A commonly used technique to curate such massive datasets is crowdsourcing, where data are dispa
Externí odkaz:
http://arxiv.org/abs/2407.06902
Autor:
Giannakis, Dimitrios, Jebelli, Mohammad Javad Latifi, Montgomery, Michael, Pfeffer, Philipp, Schumacher, Jörg, Slawinska, Joanna
We propose a tensor network framework for approximating the evolution of observables of measure-preserving ergodic systems. Our approach is based on a spectrally-convergent approximation of the skew-adjoint Koopman generator by a diagonalizable, skew
Externí odkaz:
http://arxiv.org/abs/2407.07242
We define the notion of a thick open set $\Omega$ in a Euclidean space and show that a local Hardy-Littlewood inequality holds in $L^p(\Omega)$, $p \in (1, \infty]$. We then establish pointwise and $L^p(\Omega)$ convergence for families of convolutio
Externí odkaz:
http://arxiv.org/abs/2403.00173
Reproducing kernel Hilbert spaces (RKHSs) are Hilbert spaces of functions where pointwise evaluation is continuous. There are known examples of RKHSs that are Banach algebras under pointwise multiplication. These examples are built from weights on th
Externí odkaz:
http://arxiv.org/abs/2401.01295
Utilizing task-invariant prior knowledge extracted from related tasks, meta-learning is a principled framework that empowers learning a new task especially when data records are limited. A fundamental challenge in meta-learning is how to quickly "ada
Externí odkaz:
http://arxiv.org/abs/2312.13486
Autor:
Li, Bingcong, Zheng, Shuai, Raman, Parameswaran, Shrivastava, Anshumali, Giannakis, Georgios B.
On-device memory concerns in distributed deep learning have become severe due to (i) the growth of model size in multi-GPU training, and (ii) the wide adoption of deep neural networks for federated learning on IoT devices which have limited storage.
Externí odkaz:
http://arxiv.org/abs/2312.08538
Autor:
Bacharis, Athanasios, Polyzos, Konstantinos D., Nelson, Henry J., Giannakis, Georgios B., Papanikolopoulos, Nikolaos
3D reconstruction is a fundamental task in robotics that gained attention due to its major impact in a wide variety of practical settings, including agriculture, underwater, and urban environments. This task can be carried out via view planning (VP),
Externí odkaz:
http://arxiv.org/abs/2310.00145