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4,918 papers
Exploiting Gradients in Bayesian Inference of Expensive Simulators
Šimon Soldát, Václav Šmídl
Simulators based on differential equations are ubiquitous in science and engineering. They are often used in simulation-based inference to evaluate the posterior distribution of th…
Your Retriever Already Knows: Distribution-Shape QPP for RAG Retrieval Sufficiency
Matyáš Veselý, Michal Průšek, Jiří Franc
Standard Retrieval-Augmented Generation (RAG) pipelines often provide no reliable inference-time signal of whether retrieval succeeded; on ambiguous or out-of-scope queries, genera…
Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners
David Milec, Spyridon Samothrakis, Michael Fairbank +1
The dominance of Neural Networks (NNs) in RL is partially due to their incremental learning capability, which naturally suits the online, non-stationary nature of self-play trainin…
GRINTA: a new Probe of the Dynamic Universe
Lorenzo Natalucci, Philippe Laurent, Marica Branchesi +48
Recent observations of the transient sky at all wavelengths are increasingly revealing the importance of the multi-messenger and multi-wavelength approach. The GRINTA (Gamma-Ray IN…
Intercalation of Alkali Metal into WTe2, the Crystal Structure of A0.5WTe2 and Observation of a Metal-to-Semiconductor Transition
Patrick Schmidt, Fabian Strauß, Marcus Scheele +2
We explore the cationic intercalation of tungsten ditelluride (WTe2) with potassium (K), rubidium (Rb), and cesium (Cs), yielding intercalation compounds of the form A0.5WTe2 (A =…
SAT-based Encodings for Optimal Decision Trees with Explicit Paths
Mikoláš Janota, António Morgado
Decision trees play an important role both in Machine Learning and Knowledge Representation. They are attractive due to their immediate interpretability. In the spirit of Occam's r…