conftrace_

parameter inference

29 papers

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Co-occurring keywords

gaussian process (1200) bayesian inference (1907) dynamical system (398) gradient matching (36) variational inference (2069) stochastic differential equation (181) differential equation (56) ordinary differential equation (139) diffusion process (68) parameter estimation (274)

Papers

Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation CVPR 2025
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NIPS 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NIPS 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
HNPE: Leveraging Global Parameters for Neural Posterior Estimation NIPS 2021
Parameter Inference with Bifurcation Diagrams NIPS 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Continuous Time Bayesian Networks with Clocks ICML 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018
Black-Box Variational Inference for Stochastic Differential Equations ICML 2018
Overlapping Clustering Models, and One (class) SVM to Bind Them All NIPS 2018
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Scalable Variational Inference for Dynamical Systems NIPS 2017
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016
Controversy in mechanistic modelling with Gaussian processes ICML 2015
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013