conftrace_

latent variable model

564 papers

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Also known as

LVM

Co-occurring keywords

variational inference (2069) latent variable (541) variational autoencoder (1288) gaussian process (1200) bayesian inference (1907) generative model (2892) expectation maximization (255) unsupervised learning (3264) probabilistic modeling (852) probabilistic model (476)

Papers

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NIPS 2023
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NIPS 2023
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables JMLR 2023
RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023
Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023
Latent SDEs on Homogeneous Spaces NIPS 2023
Generative Semantic Segmentation CVPR 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
An Ordinal Latent Variable Model of Conflict Intensity ACL 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023
Bit Allocation using Optimization ICML 2023
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the “What” and Focus on the “How”! ACL 2023
Efficient Verification of Neural Networks Against LVM-Based Specifications CVPR 2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision INTERSPEECH 2023
Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023
A Latent-Variable Model for Intrinsic Probing AAAI 2023
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables AAAI 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023
The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023
Regularized Joint Mixture Models JMLR 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023