Zobrazeno 1 - 10
of 14 111
pro vyhledávání: '"A. Kersting"'
$\chi$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:
Dutta, Subhabrata, Kaufmann, Timo, Glavaš, Goran, Habernal, Ivan, Kersting, Kristian, Kreuter, Frauke, Mezini, Mira, Gurevych, Iryna, Hüllermeier, Eyke, Schuetze, Hinrich
While there is a widespread belief that artificial general intelligence (AGI) -- or even superhuman AI -- is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human-AI cooperation and that the
Externí odkaz:
http://arxiv.org/abs/2408.07461
Autor:
Tröger, Jan, Kersting, Reinhard, Hagenhoff, Birgit, Bougeard, Dominique, Abrosimov, Nikolay V., Klos, Jan, Schreiber, Lars R., Bracht, Hartmut
The continuous technological development of electronic devices and the introduction of new materials leads to ever greater demands on the fabrication of semiconductor heterostructures and their characterization. This work focuses on optimizing Time-o
Externí odkaz:
http://arxiv.org/abs/2407.17985
Tokenizers are crucial for encoding information in Large Language Models, but their development has recently stagnated, and they contain inherent weaknesses. Major limitations include computational overhead, ineffective vocabulary use, and unnecessar
Externí odkaz:
http://arxiv.org/abs/2406.19223
We present a comprehensive study of answer quality evaluation in Retrieval-Augmented Generation (RAG) applications using vRAG-Eval, a novel grading system that is designed to assess correctness, completeness, and honesty. We further map the grading o
Externí odkaz:
http://arxiv.org/abs/2406.18064
Autor:
Kaufmann, Timo, Blüml, Jannis, Wüst, Antonia, Delfosse, Quentin, Kersting, Kristian, Hüllermeier, Eyke
Properly defining a reward signal to efficiently train a reinforcement learning (RL) agent is a challenging task. Designing balanced objective functions from which a desired behavior can emerge requires expert knowledge, especially for complex enviro
Externí odkaz:
http://arxiv.org/abs/2406.16748
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
The challenge in object-based visual reasoning lies in generating descriptive yet distinct concept representations. Moreover, doing this in an unsupervised fashion requires human users to understand a model's learned concepts and potentially revise f
Externí odkaz:
http://arxiv.org/abs/2406.09949
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
Tree shape statistics, particularly measures of tree (im)balance, play an important role in the analysis of the shape of phylogenetic trees. With applications ranging from testing evolutionary models to studying the impact of fertility inheritance an
Externí odkaz:
http://arxiv.org/abs/2406.05185