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Variational Inference

105 directly classified papers

Papers per year

Papers

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025
Enhance Vision-Language Alignment with Noise AAAI 2025
A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025
Poisson Variational Autoencoder NIPS 2024
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios ACL 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024
Variational Resampling AISTATS 2024
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023
Differentiable Random Partition Models NIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions NIPS 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NIPS 2023
Hyperbolic VAE via Latent Gaussian Distributions NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Generative Label Enhancement with Gaussian Mixture and Partial Ranking AAAI 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NIPS 2023
Latent Time Neural Ordinary Differential Equations AAAI 2022
Riemannian Diffusion Models NIPS 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates NIPS 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022