| Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma | Jun 11, 2023 | CPUVariational Inference | —Unverified | 0 |
| VIFS: An End-to-End Variational Inference for Foley Sound Synthesis | Jun 8, 2023 | Speech Synthesistext-to-speech | CodeCode Available | 0 |
| Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models | Jun 7, 2023 | Hyperparameter OptimizationVariational Inference | CodeCode Available | 0 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 |
| Input-gradient space particle inference for neural network ensembles | Jun 5, 2023 | DiversityEnsemble Learning | CodeCode Available | 0 |
| Deep Active Learning with Structured Neural Depth Search | Jun 5, 2023 | Active LearningVariational Inference | —Unverified | 0 |
| Provable convergence guarantees for black-box variational inference | Jun 4, 2023 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Variational Gaussian Process Diffusion Processes | Jun 3, 2023 | Variational Inference | CodeCode Available | 0 |
| Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains | Jun 1, 2023 | Variational Inference | —Unverified | 0 |
| On the Convergence of Coordinate Ascent Variational Inference | Jun 1, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Balanced Training of Energy-Based Models with Adaptive Flow Sampling | Jun 1, 2023 | Density EstimationVariational Inference | —Unverified | 0 |
| Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides | May 31, 2023 | Medical DiagnosisVariational Inference | CodeCode Available | 0 |
| Neural Markov Jump Processes | May 31, 2023 | Variational Inference | CodeCode Available | 0 |
| Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency | May 31, 2023 | Self-LearningText Generation | —Unverified | 0 |
| Federated Empirical Risk Minimization via Second-Order Method | May 27, 2023 | Federated Learningquantile regression | —Unverified | 0 |
| Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation | May 27, 2023 | Variational Inference | —Unverified | 0 |
| Differentiable Random Partition Models | May 26, 2023 | Variational Inference | CodeCode Available | 0 |
| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Discriminative calibration: Check Bayesian computation from simulations and flexible classifier | May 24, 2023 | Variational Inference | CodeCode Available | 0 |
| On the Convergence of Black-Box Variational Inference | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Bayesian calibration of differentiable agent-based models | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Variational Inference with Coverage Guarantees in Simulation-Based Inference | May 23, 2023 | Variational Inference | CodeCode Available | 0 |
| Federated Variational Inference: Towards Improved Personalization and Generalization | May 23, 2023 | Bayesian InferenceFederated Learning | —Unverified | 0 |
| Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent | May 23, 2023 | Variational Inference | —Unverified | 0 |
| Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization | May 23, 2023 | Deep LearningTime Series | CodeCode Available | 0 |
| Score Operator Newton transport | May 16, 2023 | Bayesian Inferencevalid | —Unverified | 0 |
| Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling | May 16, 2023 | DenoisingGeophysics | CodeCode Available | 0 |
| Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics | May 15, 2023 | Image ReconstructionVariational Inference | —Unverified | 0 |
| A stable deep adversarial learning approach for geological facies generation | May 12, 2023 | Variational Inference | —Unverified | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
| FedHB: Hierarchical Bayesian Federated Learning | May 8, 2023 | AvgFederated Learning | —Unverified | 0 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion | May 8, 2023 | Image GenerationVariational Inference | —Unverified | 0 |
| Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance | May 6, 2023 | Bayesian InferenceState Estimation | —Unverified | 0 |
| Towards Causal Representation Learning and Deconfounding from Indefinite Data | May 4, 2023 | Causal DiscoveryDisentanglement | —Unverified | 0 |
| Tensorizing flows: a tool for variational inference | May 3, 2023 | Tensor NetworksVariational Inference | —Unverified | 0 |
| Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty | May 1, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach | Apr 25, 2023 | Causal InferenceDecision Making | —Unverified | 0 |
| Machine Learning and the Future of Bayesian Computation | Apr 21, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation | Apr 16, 2023 | NeRFObject | —Unverified | 0 |
| The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges | Apr 14, 2023 | ClusteringModel Selection | —Unverified | 0 |
| Bayesian Inference on Brain-Computer Interfaces via GLASS | Apr 14, 2023 | Bayesian InferenceEEG | CodeCode Available | 0 |
| Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box | Apr 11, 2023 | Probabilistic ProgrammingStochastic Optimization | CodeCode Available | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation | Mar 28, 2023 | Image CaptioningImage Generation | —Unverified | 0 |
| The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting | Mar 28, 2023 | Variational Inference | —Unverified | 0 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 |
| Variational Inference for Longitudinal Data Using Normalizing Flows | Mar 24, 2023 | ImputationVariational Inference | CodeCode Available | 0 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 |
| Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators | Mar 19, 2023 | Stochastic OptimizationVariational Inference | —Unverified | 0 |