423

arXiv:2512.15755v1 Announce Type: new
Abstract: Interpreting complex datasets remains a major challenge for scientists, particularly due to high dimensionality and collinearity among variables. We introduce a novel application of Kolmogorov-Arnold Networks (KANs) to enhance interpretability and par…
332

arXiv:2512.16386v1 Announce Type: new
Abstract: This work focuses on quantitative verification of fairness in tree ensembles. Unlike traditional verification approaches that merely return a single counterexample when the fairness is violated, quantitative verification estimates the ratio of all cou…
241

arXiv:2512.16656v1 Announce Type: new
Abstract: The rapid assimilation of Artificial Intelligence technologies into various facets of society has created a significant educational imperative that current frameworks are failing to effectively address. We are witnessing the rise of a dangerous litera…
230

H. M. Tedila et al 2024 ApJ 965 144 Researchers have identified four emission modes in PSR J0344βˆ’0901 for the first time, finding that each emission mode has its own subpulse behavior.
The post Investigation of Profile Shifting and Subpulse Movement in PSR J0344-0901 with FAST appeared first on AAS …
224

S. R. Callos et al 2025 Planet. Sci. J. 6 17 Particle clouds called spokes in the outer parts of Saturn’s rings show a variety of intriguing behaviors, including seasonal variations and switching from appearing darker and lighter than the ring material.
The post A Survey of Cassini Images of Spokes …
222

John F. Wu 2025 ApJ 980 183 A novel neural network architecture produces interpretable features that can be combined to estimate galaxy properties such as metallicity from pixel-level features.
The post Insights into Galaxy Evolution from Interpretable Sparse Feature Networks appeared first on AAS N…
221

arXiv:2512.15940v1 Announce Type: new
Abstract: Humans perceive and reason about their surroundings in four dimensions by building persistent, structured internal representations that encode semantic meaning, spatial layout, and temporal dynamics. These multimodal memories enable them to recall pas…
231

arXiv:2512.16768v1 Announce Type: cross
Abstract: We study the implicit bias of flow matching (FM) samplers via the lens of empirical flow matching. Although population FM may produce gradient-field velocities resembling optimal transport (OT), we show that the empirical FM minimizer is almost neve…
209

arXiv:2511.04399v2 Announce Type: replace-cross
Abstract: Quantum communication protocols can be designed to detect eavesdropping attacks, something that classical technologies are unable to do since classical information can be replicated in a non-destructive manner. Eavesdropping detection is, th…
219

arXiv:2402.11216v4 Announce Type: replace-cross
Abstract: A common bane of artificial reverberation algorithms is spectral coloration in the synthesized sound, typically manifesting as metallic ringing, leading to a degradation in the perceived sound quality. In delay network methods, coloration is…
211

arXiv:2512.16912v1 Announce Type: new
Abstract: This paper examines the exploration-exploitation trade-off in reinforcement learning with verifiable rewards (RLVR), a framework for improving the reasoning of Large Language Models (LLMs). Recent studies suggest that RLVR can elicit strong mathematic…
222

arXiv:2512.16644v1 Announce Type: new
Abstract: This research presents the implementation of a Sharia-compliant chatbot as an interactive medium for consulting Islamic questions, leveraging Reinforcement Learning (Q-Learning) integrated with Sentence-Transformers for semantic embedding to ensure co…