Showing 1–20 of 37 results
/ Date/ Name
May 13, 2021Enhancing quantum models of stochastic processes with error mitigationMar 25, 2021Quantum-inspired identification of complex cellular automataFeb 6, 2024LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and CosmologyJun 23, 2020Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy ClustersMay 18, 2023Information-Ordered Bottlenecks for Adaptive Semantic CompressionNov 7, 2019Robust inference of memory structure for efficient quantum modelling of stochastic processesFeb 15, 2019A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy ClustersOct 17, 2024Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal ReasoningSep 4, 2025ArcMemo: Abstract Reasoning Composition with Lifelong LLM MemoryJun 29, 2022The Dynamical Mass of the Coma Cluster from Deep LearningOct 21, 2022WikiWhy: Answering and Explaining Cause-and-Effect QuestionsFeb 28, 2023Benchmarks and Explanations for Deep Learning Estimates of X-ray Galaxy Cluster MassesFeb 27, 2025AI-Powered Noisy Quantum Emulation: Generalized Gate-Based Protocols for Hardware-Agnostic SimulationJan 25, 2021On the binary adder channel with complete feedback, with an application to quantitative group testingNov 29, 2021Building Trustworthy Machine Learning Models for AstronomyJul 28, 2022A Machine Learning Approach to Enhancing eROSITA ObservationsApr 7, 2023Posterior Sampling of the Initial Conditions of the Universe from Non-linear Large Scale Structures using Score-Based Generative ModelsSep 13, 2024CHARM: Creating Halos with Auto-Regressive Multi-stage networksOct 3, 2024Reconstructing Galaxy Cluster Mass Maps using Score-based Generative ModelingNov 21, 2024Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours