16 results on '"Matthew J. Johnson"'
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2. Parallelism-preserving automatic differentiation for second-order array languages.
3. The LORACs Prior for VAEs: Letting the Trees Speak for the Data.
4. SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.
5. Learning Differential Equations that are Easy to Solve.
6. Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models.
7. Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems.
8. Structure-Exploiting variational inference for recurrent switching linear dynamical systems.
9. Composing graphical models with neural networks for structured representations and fast inference.
10. The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM.
11. Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation.
12. Analyzing Hogwild Parallel Gaussian Gibbs Sampling.
13. The Hierarchical Dirichlet Process Hidden Semi-Markov Model.
14. Necessary and sufficient conditions for high-dimensional salient feature subset recovery.
15. A Controller for the LittleDog Quadruped Walking on Rough Terrain.
16. Demonstration of quadrupedal locomotion over rough terrain using the littledog robot.
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