| Gaussian Process Meta-Representations Of Neural Networks | Sep 25, 2019 | Active LearningBayesian Inference | —Unverified | 0 |
| An Information Theoretic Approach to Distributed Representation Learning | Sep 25, 2019 | Representation LearningVariational Inference | —Unverified | 0 |
| Refining the variational posterior through iterative optimization | Sep 25, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach | Sep 25, 2019 | Multi-agent Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Hierarchical Bayes Autoencoders | Sep 25, 2019 | DecoderVariational Inference | —Unverified | 0 |
| Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| Latent Variables on Spheres for Sampling and Inference | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| LAVAE: Disentangling Location and Appearance | Sep 25, 2019 | ObjectVariational Inference | —Unverified | 0 |
| BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation | Sep 25, 2019 | DisentanglementVariational Inference | —Unverified | 0 |
| Benefits of Overparameterization in Single-Layer Latent Variable Generative Models | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks | Sep 25, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| LIA: Latently Invertible Autoencoder with Adversarial Learning | Sep 25, 2019 | DecoderGenerative Adversarial Network | —Unverified | 0 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics | Sep 24, 2019 | Asset ManagementManagement | —Unverified | 0 |
| Variational Conditional GAN for Fine-grained Controllable Image Generation | Sep 22, 2019 | DiversityImage Generation | —Unverified | 0 |
| Refined α-Divergence Variational Inference via Rejection Sampling | Sep 17, 2019 | Variational Inference | —Unverified | 0 |
| Variational Bayesian Context-aware Representation for Grocery Recommendation | Sep 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Compositional uncertainty in deep Gaussian processes | Sep 17, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods | Sep 14, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Reconstructing continuous distributions of 3D protein structure from cryo-EM images | Sep 11, 2019 | 3D Volumetric ReconstructionClustering | CodeCode Available | 0 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation | Sep 6, 2019 | Generalization BoundsVariational Inference | —Unverified | 0 |
| Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations | Sep 5, 2019 | DisentanglementVariational Inference | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| On the Expressiveness of Approximate Inference in Bayesian Neural Networks | Sep 2, 2019 | Active LearningBayesian Inference | CodeCode Available | 0 |
