Zobrazeno 1 - 10
of 5 102
pro vyhledávání: '"Dhami, A."'
$\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
Autor:
Poonia, Harsh, Willig, Moritz, Yu, Zhongjie, Zečević, Matej, Kersting, Kristian, Dhami, Devendra Singh
Causal inference in hybrid domains, characterized by a mixture of discrete and continuous variables, presents a formidable challenge. We take a step towards this direction and propose Characteristic Interventional Sum-Product Network ($\chi$SPN) that
Externí odkaz:
http://arxiv.org/abs/2408.07545
Autor:
Dhami, N. S., Balédent, V., Batistić, I., Bednarchuk, O., Kaczorowski, D., Itié, J. P., Shieh, S. R., Kumar, C. M. N., Utsumi, Y.
Antiferromagnetic intermetallic compound EuRhGe3 crystalizes in a non-centrosymmetric BaNiSn3-type (I4mm) structure. We studied its pressure-dependent crystal structure by using synchrotron powder x-ray diffraction at room temperature. Our results sh
Externí odkaz:
http://arxiv.org/abs/2408.00410
Autor:
Dhami, Harnaik
Unmanned Aerial Vehicles (UAVs) equipped with high-resolution sensors enable extensive data collection from previously inaccessible areas at a remarkable spatio-temporal scale, promising to revolutionize fields such as precision agriculture and infra
Externí odkaz:
http://arxiv.org/abs/2407.13003
We study the problem of visual surface inspection of infrastructure for defects using an Unmanned Aerial Vehicle (UAV). We do not assume that the geometric model of the infrastructure is known beforehand. Our planner, termed GATSBI, plans a path in a
Externí odkaz:
http://arxiv.org/abs/2406.16625
Employing Unmanned Aircraft Systems (UAS) beyond visual line of sight (BVLOS) is an endearing and challenging task. While UAS have the potential to significantly enhance today's logistics and emergency response capabilities, unmanned flying objects a
Externí odkaz:
http://arxiv.org/abs/2406.15088
Reinforcement learning (RL) has proven to be a powerful tool for training agents that excel in various games. However, the black-box nature of neural network models often hinders our ability to understand the reasoning behind the agent's actions. Rec
Externí odkaz:
http://arxiv.org/abs/2406.06107
Advanced Air Mobility (AAM) is a growing field that demands a deep understanding of legal, spatial and temporal concepts in navigation. Hence, any implementation of AAM is forced to deal with the inherent uncertainties of human-inhabited spaces. Enab
Externí odkaz:
http://arxiv.org/abs/2406.03454
In natural language processing and vision, pretraining is utilized to learn effective representations. Unfortunately, the success of pretraining does not easily carry over to time series due to potential mismatch between sources and target. Actually,
Externí odkaz:
http://arxiv.org/abs/2402.15404
Autor:
Shindo, Hikaru, Brack, Manuel, Sudhakaran, Gopika, Dhami, Devendra Singh, Schramowski, Patrick, Kersting, Kristian
Large-scale, pre-trained neural networks have demonstrated strong capabilities in various tasks, including zero-shot image segmentation. To identify concrete objects in complex scenes, humans instinctively rely on deictic descriptions in natural lang
Externí odkaz:
http://arxiv.org/abs/2402.14123
Autor:
Wüst, Antonia, Stammer, Wolfgang, Delfosse, Quentin, Dhami, Devendra Singh, Kersting, Kristian
The challenge in learning abstract concepts from images in an unsupervised fashion lies in the required integration of visual perception and generalizable relational reasoning. Moreover, the unsupervised nature of this task makes it necessary for hum
Externí odkaz:
http://arxiv.org/abs/2402.08280