| Training-Free Bayesianization for Low-Rank Adapters of Large Language Models | Dec 7, 2024 | Variational Inference | CodeCode Available | 1 |
| PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking | Nov 10, 2024 | CPUMulti-Object Tracking | CodeCode Available | 1 |
| Robust Variational Contrastive Learning for Partially View-unaligned Clustering | Oct 28, 2024 | ClusteringContrastive Learning | CodeCode Available | 1 |
| Scalable Random Feature Latent Variable Models | Oct 23, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Preference Diffusion for Recommendation | Oct 17, 2024 | Recommendation SystemsSequential Recommendation | CodeCode Available | 1 |
| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| Variational Bayes Gaussian Splatting | Oct 4, 2024 | Continual LearningVariational Inference | CodeCode Available | 1 |
| Generative Principal Component Regression via Variational Inference | Sep 3, 2024 | regressionVariational Inference | CodeCode Available | 1 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 |
| Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks | Aug 15, 2024 | Image RestorationVariational Inference | CodeCode Available | 1 |
| Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm | Aug 11, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 |
| Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation | Jul 5, 2024 | Stochastic OptimizationUncertainty Quantification | CodeCode Available | 1 |
| Torchtree: flexible phylogenetic model development and inference using PyTorch | Jun 26, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | CodeCode Available | 1 |
| VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification | May 31, 2024 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| Zero-inflation in the Multivariate Poisson Lognormal Family | May 23, 2024 | Variational Inference | CodeCode Available | 1 |
| S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic | May 2, 2024 | MuJoCoVariational Inference | CodeCode Available | 1 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 |
| Variational Stochastic Gradient Descent for Deep Neural Networks | Apr 9, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
| Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning | Mar 24, 2024 | Fake News DetectionImage Manipulation | CodeCode Available | 1 |
| eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling | Mar 3, 2024 | Variational Inference | CodeCode Available | 1 |
| Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes | Feb 2, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 |
