Artificial Intelligence

Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016 Incremental Task and Motion Planning: A Constraint-Based Approach RSS 2016 Incremental Variational Sparse Gaussian Process Regression NeurIPS 2016 Inference by Reparameterization in Neural Population Codes NeurIPS 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Inferring Forces and Learning Human Utilities From Videos CVPR 2016 Information-Driven Adaptive Structured-Light Scanners CVPR 2016 Instance-dependent Regret Bounds for Dueling Bandits COLT 2016 Integrated Common Sense Learning and Planning in POMDPs JMLR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Interactive Bayesian Hierarchical Clustering ICML 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 Interpretable Nonlinear Dynamic Modeling of Neural Trajectories NeurIPS 2016 Inter-Speech Clicks in an Interspeech Keynote Interspeech 2016 Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement Interspeech 2016 Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations COLING 2016 Isotonic Hawkes Processes ICML 2016 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016 Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification COLING 2016 Joint Inference for Event Coreference Resolution COLING 2016 Jointly Modeling Embedding and Translation to Bridge Video and Language CVPR 2016