poisson distribution

2-Shots in the Dark: Low-Light Denoising with Minimal Data Acquisition CVPR 2026 Poisson Variational Autoencoder NeurIPS 2024 Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Convolutional dictionary learning based auto-encoders for natural exponential-family distributions ICML 2020 High-Dimensional Poisson Structural Equation Model Learning via ℓ_1-Regularized Regression JMLR 2019 A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation JMLR 2018 Temporal Poisson Square Root Graphical Models ICML 2018 Celeste: Variational inference for a generative model of astronomical images ICML 2015 Deep Poisson Factor Modeling NeurIPS 2015 Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NeurIPS 2015 Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014 Designed Measurements for Vector Count Data NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 Predicting response time and error rates in visual search NeurIPS 2011 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Characterizing neural dependencies with copula models NeurIPS 2008