Showing 1–20 of 23 results
/ Date/ Name
Jan 5, 2026Orchestral AI: A Framework for Agent OrchestrationFeb 2, 2023Oracle-Preserving Latent FlowsJan 13, 2023Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First PrinciplesDec 22, 2021Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic RegressionJun 8, 2020Finding Wombling Boundaries in LHC Data with Voronoi and Delaunay TessellationsFeb 15, 2020Uncertainties associated with GAN-generated datasets in high energy physicsFeb 10, 2023Discovering Sparse Representations of Lie Groups with Machine LearningApr 19, 2026Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMsJan 7, 2022Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission SpectraMar 12, 2022Transverse Vector Decomposition Method for Analytical Inversion of Exoplanet Transit SpectraDec 2, 2015Dense magnetized plasma associated with a fast radio burstFeb 22, 2026AI Agents for Variational Quantum Circuit DesignMar 27, 2026ASTER -- Agentic Science Toolkit for Exoplanet ResearchMar 26, 2026The Pareto Frontiers of Magic and Entanglement: The Case of Two QubitsJul 10, 2023Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6Jun 30, 2024Towards shutdownable agents via stochastic choiceSep 14, 2023Identifying the Group-Theoretic Structure of Machine-Learned SymmetriesJan 5, 2026Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with AutoencodersDec 17, 2025HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous AgencyFeb 23, 2016Constraints on the FRB rate at 700-900 MHz