Showing 1–20 of 20 results
/ Date/ Name
Jun 8, 2023Task-specific experimental design for treatment effect estimationJun 12, 2018Improving latent variable descriptiveness with AutoGenApr 25, 2018JUNIPR: a Framework for Unsupervised Machine Learning in Particle PhysicsOct 23, 2020Representation Learning for High-Dimensional Data Collection under Local Differential PrivacyOct 14, 2020Human-interpretable model explainability on high-dimensional dataJun 12, 2018Gaussian mixture models with Wasserstein distanceFeb 8, 2019Invariant-equivariant representation learning for multi-class dataOct 7, 2020Learning disentangled representations with the Wasserstein AutoencoderMar 9, 2017A Complete Basis of Helicity Operators for Subleading FactorizationApr 17, 2012Precision Jet Substructure from Boosted Event ShapesFeb 18, 2015Removing phase-space restrictions in factorized cross sectionsJun 1, 2020Shapley explainability on the data manifoldOct 14, 2020Explainability for fair machine learningOct 14, 2019Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityOct 7, 2020Learning Deep-Latent Hierarchies by Stacking Wasserstein AutoencodersJun 24, 2019Binary JUNIPR: an interpretable probabilistic model for discriminationFeb 18, 2019Parenting: Safe Reinforcement Learning from Human InputMar 25, 2014Hard-Soft-Collinear Factorization to All OrdersJun 26, 2013An on-shell approach to factorizationJul 22, 2015Streamlining resummed QCD calculations using Monte Carlo integration