Showing 1–20 of 28 results
/ Date/ Name
Sep 28, 2017Structured Embedding Models for Grouped DataDec 29, 2023Hybrid Modeling Design PatternsNov 22, 2021Modeling Irregular Time Series with Continuous Recurrent UnitsMar 23, 2017Dynamic Bernoulli Embeddings for Language EvolutionAug 2, 2016Exponential Family EmbeddingsJun 24, 2015Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with ReserveOct 20, 2020Variational Dynamic MixturesMar 30, 2021Neural Transformation Learning for Deep Anomaly Detection Beyond ImagesMay 27, 2022Raising the Bar in Graph-level Anomaly DetectionOct 31, 2016Edward: A library for probabilistic modeling, inference, and criticismJun 25, 2025Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench DatasetFeb 11, 2024Towards Fast Stochastic Sampling in Diffusion Generative ModelsJun 24, 2024Anomaly Detection of Tabular Data Using LLMsOct 16, 2023Model Selection of Anomaly Detectors in the Absence of Labeled Validation DataDec 12, 2019Extending Machine Language Models toward Human-Level Language UnderstandingFeb 15, 2023Deep Anomaly Detection under Labeling Budget ConstraintsMar 10, 2023Deep Anomaly Detection on Tennessee Eastman Process DataSep 29, 2023LoRA ensembles for large language model fine-tuningApr 5, 2022Complex-Valued Autoencoders for Object DiscoveryOct 11, 2023Efficient Integrators for Diffusion Generative Models