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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015
A New Perspective and Extension of the Gaussian Filter RSS 2015
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Clustered factor analysis of multineuronal spike data NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
Blossom Tree Graphical Models NIPS 2014
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NIPS 2014
The Infinite Mixture of Infinite Gaussian Mixtures NIPS 2014
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Concavity of reweighted Kikuchi approximation NIPS 2014
Stochastic variational inference for hidden Markov models NIPS 2014
Structure learning of antiferromagnetic Ising models NIPS 2014