Poster "variational inference" Papers

68 papers found • Page 2 of 2

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

Johannes Zenn, Robert Bamler

ICML 2024

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

Sojin Lee, Dogyun Park, Inho Kong et al.

ECCV 2024arXiv:2407.16125
9
citations

Discovering Mixtures of Structural Causal Models from Time Series Data

Sumanth Varambally, Yian Ma, Rose Yu

ICML 2024arXiv:2310.06312
10
citations

Improving Adversarial Energy-Based Model via Diffusion Process

Cong Geng, Tian Han, Peng-Tao Jiang et al.

ICML 2024arXiv:2403.01666
5
citations

Kernel Semi-Implicit Variational Inference

Ziheng Cheng, Longlin Yu, Tianyu Xie et al.

ICML 2024arXiv:2405.18997
8
citations

Online Variational Sequential Monte Carlo

Alessandro Mastrototaro, Jimmy Olsson

ICML 2024arXiv:2312.12616
4
citations

On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity

Junyi FAN, Yuxuan Han, Zijian Liu et al.

ICML 2024

PGODE: Towards High-quality System Dynamics Modeling

Xiao Luo, Yiyang Gu, Huiyu Jiang et al.

ICML 2024arXiv:2311.06554
8
citations

Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks

Yunfei Long, Zilin Tian, Liguo Zhang et al.

ICML 2024

Sample as you Infer: Predictive Coding with Langevin Dynamics

Umais Zahid, Qinghai Guo, Zafeirios Fountas

ICML 2024arXiv:2311.13664
10
citations

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes

Yingyi Chen, Qinghua Tao, Francesco Tonin et al.

ICML 2024arXiv:2402.01476
3
citations

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

JIAN XU, Delu Zeng, John Paisley

ICML 2024arXiv:2407.17033
13
citations

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians

Tom Huix, Anna Korba, Alain Oliviero Durmus et al.

ICML 2024arXiv:2406.04012
10
citations

Understanding Stochastic Natural Gradient Variational Inference

Kaiwen Wu, Jacob Gardner

ICML 2024arXiv:2406.01870
7
citations

Variational Inference with Coverage Guarantees in Simulation-Based Inference

Yash Patel, Declan McNamara, Jackson Loper et al.

ICML 2024arXiv:2305.14275
5
citations

Variational Linearized Laplace Approximation for Bayesian Deep Learning

Luis A. Ortega, Simon Rodriguez Santana, Daniel Hernández-Lobato

ICML 2024arXiv:2302.12565
8
citations

Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

Hyunsu Kim, Ye Gon Kim, Hongseok Yang et al.

ICML 2024arXiv:2407.04271
1
citations

Variational Schrödinger Diffusion Models

Wei Deng, Weijian Luo, Yixin Tan et al.

ICML 2024arXiv:2405.04795
8
citations