SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2101–2150 of 2274 papers

TitleStatusHype
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse ProblemsCode0
Amortized Population Gibbs Samplers with Neural Sufficient StatisticsCode0
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep LearningCode0
Streaming Variational Monte CarloCode0
Convolutional Normalizing FlowsCode0
Random Feature Expansions for Deep Gaussian ProcessesCode0
Random Function Priors for Correlation ModelingCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Addressing Catastrophic Forgetting in Few-Shot ProblemsCode0
Structured Recognition for Generative Models with Explaining AwayCode0
Rapid Model Comparison by Amortizing Across ModelsCode0
Streamlining Variational Inference for Constraint Satisfaction ProblemsCode0
Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian ApproachCode0
Continual Multi-task Gaussian ProcessesCode0
Context Selection for Embedding ModelsCode0
Structured Cooperative Learning with Graphical Model PriorsCode0
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition ModelingCode0
Reconstructing continuous distributions of 3D protein structure from cryo-EM imagesCode0
Learning Discrete State Abstractions With Deep Variational InferenceCode0
Weight Pruning and Uncertainty in Radio Galaxy ClassificationCode0
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban MobilityCode0
A Spectral Approach to Gradient Estimation for Implicit DistributionsCode0
Bayesian Nonparametrics for Offline Skill DiscoveryCode0
Amortised Inference in Bayesian Neural NetworksCode0
Structured Stochastic Gradient MCMCCode0
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-ShiftsCode0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Variational Inference for Bayesian Neural Networks under Model and Parameter UncertaintyCode0
Content-based recommendations with Poisson factorizationCode0
Learning minimal representations of stochastic processes with variational autoencodersCode0
Reducing Reparameterization Gradient VarianceCode0
Learning more expressive joint distributions in multimodal variational methodsCode0
Learning Multimodal Transition Dynamics for Model-Based Reinforcement LearningCode0
Yes, but Did It Work?: Evaluating Variational InferenceCode0
Learning Nonparametric Volterra Kernels with Gaussian ProcessesCode0
Consistency Regularization for Variational Auto-EncodersCode0
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate ModelsCode0
Structured Variational Inference in Continuous Cox Process ModelsCode0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
Structured Variational Inference in Unstable Gaussian Process State Space ModelsCode0
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution ShiftCode0
Using the Path of Least Resistance to Explain Deep NetworksCode0
Learning Space-Time Continuous Neural PDEs from Partially Observed StatesCode0
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsCode0
Amortized variational transdimensional inferenceCode0
Conditional Injective Flows for Bayesian ImagingCode0
Variational Positive-incentive Noise: How Noise Benefits ModelsCode0
Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank EstimationCode0
VaiPhy: a Variational Inference Based Algorithm for PhylogenyCode0
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Show:102550
← PrevPage 43 of 46Next →

No leaderboard results yet.