Zobrazeno 1 - 10
of 32 197
pro vyhledávání: '"TUNA, A."'
Accurately characterizing migration velocity models is crucial for a wide range of geophysical applications, from hydrocarbon exploration to monitoring of CO2 sequestration projects. Traditional velocity model building methods such as Full-Waveform I
Externí odkaz:
http://arxiv.org/abs/2411.06651
Autor:
Talbot, William, Nubert, Julian, Tuna, Turcan, Cadena, Cesar, Dümbgen, Frederike, Tordesillas, Jesus, Barfoot, Timothy D., Hutter, Marco
Accurate, efficient, and robust state estimation is more important than ever in robotics as the variety of platforms and complexity of tasks continue to grow. Historically, discrete-time filters and smoothers have been the dominant approach, in which
Externí odkaz:
http://arxiv.org/abs/2411.03951
Autor:
Tuna, Turcan, Nubert, Julian, Pfreundschuh, Patrick, Cadena, Cesar, Khattak, Shehryar, Hutter, Marco
The ICP registration algorithm has been a preferred method for LiDAR-based robot localization for nearly a decade. However, even in modern SLAM solutions, ICP can degrade and become unreliable in geometrically ill-conditioned environments. Current so
Externí odkaz:
http://arxiv.org/abs/2408.11809
We present a method for blind acoustic parameter estimation from single-channel reverberant speech. The method is structured into three stages. In the first stage, a variational auto-encoder is trained to extract latent representations of acoustic im
Externí odkaz:
http://arxiv.org/abs/2407.19989
Autor:
Altınel, Tuna, Wiscons, Joshua
We show that a generically sharply $t$-transitive permutation group of finite Morley rank on a set of rank $r$ satisfies $t\le r+2$ provided the pointwise stabilizer of a generic $(t-1)$-tuple is an $L$-group, which holds, for example, when this stab
Externí odkaz:
http://arxiv.org/abs/2407.09636
In this study, we introduce a novel approach to synthesizing subsurface velocity models using diffusion generative models. Conventional methods rely on extensive, high-quality datasets, which are often inaccessible in subsurface applications. Our met
Externí odkaz:
http://arxiv.org/abs/2406.05136
We investigate fluctuations of hot and dense QCD plasma by using the gauge/gravity duality. To this end, we carry out a comprehensive classification and analysis of quasinormal modes of charged black holes in the holographic V-QCD model. It turns out
Externí odkaz:
http://arxiv.org/abs/2405.02399
We present evidence for a spatially modulated instability within the deconfined quark-gluon plasma phase of QCD. This evidence is based on robust predictions from generic holographic models, accurately fitted to lattice data, where the instability is
Externí odkaz:
http://arxiv.org/abs/2405.02392
Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The latter issue is usually addressed by pre-processing the data to remove
Externí odkaz:
http://arxiv.org/abs/2404.18273
Autor:
Mattamala, Matías, Chebrolu, Nived, Casseau, Benoit, Freißmuth, Leonard, Frey, Jonas, Tuna, Turcan, Hutter, Marco, Fallon, Maurice
We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balance of endurance and low soil impact for forest applications. In this pa
Externí odkaz:
http://arxiv.org/abs/2404.14157