Zobrazeno 1 - 10
of 14 231
pro vyhledávání: '"Stork IN"'
Counterfeit products such as drugs and vaccines as well as luxury items such as high-fashion handbags, watches, jewelry, garments, and cosmetics, represent significant direct losses of revenue to legitimate manufacturers and vendors, as well as indir
Externí odkaz:
http://arxiv.org/abs/2410.05969
Estimating treatment effects from observational data is paramount in healthcare, education, and economics, but current deep disentanglement-based methods to address selection bias are insufficiently handling irrelevant variables. We demonstrate in ex
Externí odkaz:
http://arxiv.org/abs/2407.20003
Publikováno v:
ICANN 2024, Lecture Notes in Computer Science (LNCS)
Mathematical solvers use parametrized Optimization Problems (OPs) as inputs to yield optimal decisions. In many real-world settings, some of these parameters are unknown or uncertain. Recent research focuses on predicting the value of these unknown p
Externí odkaz:
http://arxiv.org/abs/2406.03082
Learning latent costs of transitions on graphs from trajectories demonstrations under various contextual features is challenging but useful for path planning. Yet, existing methods either oversimplify cost assumptions or scale poorly with the number
Externí odkaz:
http://arxiv.org/abs/2405.04923
Reinforcement learning policies are typically represented by black-box neural networks, which are non-interpretable and not well-suited for safety-critical domains. To address both of these issues, we propose constrained normalizing flow policies as
Externí odkaz:
http://arxiv.org/abs/2405.01198
Autor:
de Boer, Victor, Stork, Lise
In this paper, we explore the synergies between Digital Humanities (DH) as a discipline and Hybrid Intelligence (HI) as a research paradigm. In DH research, the use of digital methods and specifically that of Artificial Intelligence is subject to a s
Externí odkaz:
http://arxiv.org/abs/2406.15374
Traditional dataset retrieval systems rely on metadata for indexing, rather than on the underlying data values. However, high-quality metadata creation and enrichment often require manual annotations, which is a labour-intensive and challenging proce
Externí odkaz:
http://arxiv.org/abs/2403.00884
Many practically relevant robot grasping problems feature a target object for which all grasps are occluded, e.g., by the environment. Single-shot grasp planning invariably fails in such scenarios. Instead, it is necessary to first manipulate the obj
Externí odkaz:
http://arxiv.org/abs/2310.17785
Autor:
Rietz, Finn, Stork, Johannes Andreas
Discovering all useful solutions for a given task is crucial for transferable RL agents, to account for changes in the task or transition dynamics. This is not considered by classical RL algorithms that are only concerned with finding the optimal pol
Externí odkaz:
http://arxiv.org/abs/2310.07493