probabilistic inference

An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction Interspeech 2017 Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017 Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017 Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017 Gain Compensation for Fast i-Vector Extraction Over Short Duration Interspeech 2017 Improving Semantic Composition with Offset Inference ACL 2017 Joint Label Inference in Networks JMLR 2017 Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Reconstructing perceived faces from brain activations with deep adversarial neural decoding NeurIPS 2017 Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017 Single-Image 3D Scene Parsing Using Geometric Commonsense IJCAI 2017 Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017 Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning CoRL 2017 Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach RSS 2017 Weighted Model Integration with Orthogonal Transformations IJCAI 2017 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NeurIPS 2016 Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Interacting Particle Markov Chain Monte Carlo ICML 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs RSS 2016