Tootfinder

Die ePetition 179709 an den Bundestag aus dem Bereich Informationsfreiheitsgesetz des Bundes (IFG) mit dem Titel
Erhalt des Informationsfreiheitsgesetzes (IFG) in seiner bestehenden Form
kann bis zum Dienstag 22. Juli 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition wird der Erhalt des Informationsfreiheitsgesetzes (IFG) in seiner bestehenden Form gefordert.
Aktuelle Berichte zeigen, dass in den Koalitionsverhandlungen der Vorschlag diskutiert wurde, da…

Learning Optimal Posted Prices for a Unit-Demand Buyer
Yifeng Teng, Yifan Wang
https://arxiv.org/abs/2506.02284 https://arxiv.org/pdf…

Learning Optimal Posted Prices for a Unit-Demand Buyer
We study the problem of learning the optimal item pricing for a unit-demand buyer with independent item values, and the learner has query access to the buyer's value distributions. We consider two common query models in the literature: the sample access model where the learner can obtain a sample of each item value, and the pricing query model where the learner can set a price for an item and obtain a binary signal on whether the sampled value of the item is greater than our proposed price. In …

MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
Yunkee Chae, Kyogu Lee
https://arxiv.org/abs/2505.23305 https://

MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
We present MGE-LDM, a unified latent diffusion framework for simultaneous music generation, source imputation, and query-driven source separation. Unlike prior approaches constrained to fixed instrument classes, MGE-LDM learns a joint distribution over full mixtures, submixtures, and individual stems within a single compact latent diffusion model. At inference, MGE-LDM enables (1) complete mixture generation, (2) partial generation (i.e., source imputation), and (3) text-conditioned extraction …