Zobrazeno 1 - 10
of 5 159
pro vyhledávání: '"Dhami A"'
Autor:
Wüst, Antonia, Tobiasch, Tim, Helff, Lukas, Dhami, Devendra S., Rothkopf, Constantin A., Kersting, Kristian
Recently, newly developed Vision-Language Models (VLMs), such as OpenAI's GPT-4o, have emerged, seemingly demonstrating advanced reasoning capabilities across text and image modalities. Yet, the depth of these advances in language-guided perception a
Externí odkaz:
http://arxiv.org/abs/2410.19546
Time series data is prevalent across numerous fields, necessitating the development of robust and accurate forecasting models. Capturing patterns both within and between temporal and multivariate components is crucial for reliable predictions. We int
Externí odkaz:
http://arxiv.org/abs/2410.16928
Company fundamentals are key to assessing companies' financial and overall success and stability. Forecasting them is important in multiple fields, including investing and econometrics. While statistical and contemporary machine learning methods have
Externí odkaz:
http://arxiv.org/abs/2411.05791
Autor:
Willig, Moritz, Tobiasch, Tim Nelson, Busch, Florian Peter, Seng, Jonas, Dhami, Devendra Singh, Kersting, Kristian
Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents' actions or tipping points in the environmental process can change the qualitative dynamics o
Externí odkaz:
http://arxiv.org/abs/2410.13054
Humans can leverage both symbolic reasoning and intuitive reactions. In contrast, reinforcement learning policies are typically encoded in either opaque systems like neural networks or symbolic systems that rely on predefined symbols and rules. This
Externí odkaz:
http://arxiv.org/abs/2410.11689
$\chi$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