Showing 1–20 of 97 results
/ Date/ Name
Jul 27, 2023Automatic Parallelization of Software Network FunctionsDec 3, 2018Knowing what you know in brain segmentation using Bayesian deep neural networksMay 2, 2022VICE: Variational Interpretable Concept EmbeddingsAug 16, 2018Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approachMay 28, 2018Distributed Weight Consolidation: A Brain Segmentation Case StudyFeb 5, 2018Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddingsJun 25, 2025Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional DatasetsJun 10, 2019Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice ModelsMar 27, 2024Peregrine: ML-based Malicious Traffic Detection for Terabit NetworksJun 22, 2020Mental representations of objects reflect the ways in which we interact with themApr 23, 2020Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial RobustnessSep 6, 2017Deep learning from crowdsSep 8, 2020A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural ScenesJan 9, 2019Revealing interpretable object representations from human behaviorAug 17, 2018Learning Supervised Topic Models for Classification and Regression from CrowdsOct 10, 2024More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed RoutingMay 28, 2024Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimesDec 12, 2023Interpretable factorization of clinical questionnaires to identify latent factors of psychopathologyJul 20, 2023Learning and Generalizing Polynomials in Simulation MetamodelingJan 25, 2022Unboxing the graph: Neural Relational Inference for Mobility Prediction