| Variational Inference for SDEs Driven by Fractional Noise | Oct 19, 2023 | Variational InferenceVideo Prediction | —Unverified | 0 |
| Optimising Distributions with Natural Gradient Surrogates | Oct 18, 2023 | Variational Inference | CodeCode Available | 0 |
| Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning | Oct 17, 2023 | AttributeContrastive Learning | —Unverified | 0 |
| PhyloGFN: Phylogenetic inference with generative flow networks | Oct 12, 2023 | Variational Inference | CodeCode Available | 0 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| High Dimensional Causal Inference with Variational Backdoor Adjustment | Oct 9, 2023 | Causal InferenceVariational Inference | CodeCode Available | 0 |
| Subspace Identification for Multi-Source Domain Adaptation | Oct 7, 2023 | DisentanglementDomain Adaptation | CodeCode Available | 0 |
| Sampling via Gradient Flows in the Space of Probability Measures | Oct 5, 2023 | Variational Inference | —Unverified | 0 |
| Variational Inference for GARCH-family Models | Oct 5, 2023 | Bayesian InferenceEconometrics | —Unverified | 0 |
| Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning | Oct 5, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent | Oct 3, 2023 | Bayesian InferenceGPU | —Unverified | 0 |
| Improved Variational Bayesian Phylogenetic Inference using Mixtures | Oct 2, 2023 | Density EstimationVariational Inference | CodeCode Available | 0 |
| LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints | Sep 27, 2023 | Variational Inference | CodeCode Available | 1 |
| Reparameterized Variational Rejection Sampling | Sep 26, 2023 | Variational Inference | —Unverified | 0 |
| Variational Inference for Scalable 3D Object-centric Learning | Sep 25, 2023 | NeRFObject | —Unverified | 0 |
| Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations | Sep 23, 2023 | Variational Inference | —Unverified | 0 |
| Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes | Sep 22, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Semi-Supervised Variational Inference over Nonlinear Channels | Sep 21, 2023 | Meta-LearningVariational Inference | —Unverified | 0 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models | Sep 20, 2023 | DenoisingEfficient Neural Network | —Unverified | 0 |
| Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder | Sep 19, 2023 | Computational EfficiencySpeech Enhancement | —Unverified | 0 |
| Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming | Sep 13, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Towards the TopMost: A Topic Modeling System Toolkit | Sep 13, 2023 | Topic ModelsVariational Inference | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
