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Variational Inference

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TitleStatusHype
Latent Matters: Learning Deep State-Space Models—0
Latent mixed-effect models for high-dimensional longitudinal data—0
Latent Time Neural Ordinary Differential Equations—0
Latent Variables on Spheres for Sampling and Inference—0
LAVAE: Disentangling Location and Appearance—0
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference—0
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport—0
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning—0
Learnable Explicit Density for Continuous Latent Space and Variational Inference—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix—0
Learning and Inference in Imaginary Noise Models—0
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels—0
Learning an Embedding Space for Transferable Robot Skills—0
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise—0
Learning a Probabilistic Model for Diffeomorphic Registration—0
Learning a Small Mixture of Trees—0
Learning Causally-Generated Stationary Time Series—0
Learning Conditional Variational Autoencoders with Missing Covariates—0
Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization—0
Learning Distributions over Permutations and Rankings with Factorized Representations—0
Learning Distributions via Monte-Carlo Marginalization—0
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future—0
Learning from demonstration using products of experts: applications to manipulation and task prioritization—0
Learning From Unpaired Data: A Variational Bayes Approach—0
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