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diffusion process

68 papers

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Co-occurring keywords

diffusion model (3751) stochastic process (388) stochastic differential equation (181) markov chain monte carlo (725) graph neural network (3962) variational inference (2069) parameter inference (29) particle filter (86) graph diffusion (32) neural network (6616)

Papers

DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models AAAI 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024
Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process ACL 2024
Global Structure-Aware Diffusion Process for Low-light Image Enhancement NIPS 2023
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network ICML 2023
q-Learning in Continuous Time JMLR 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Entropic Neural Optimal Transport via Diffusion Processes NIPS 2023
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023
Inference and sampling of point processes from diffusion excursions UAI 2023
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Exact simulation of diffusion first exit times: algorithm acceleration JMLR 2022
Stationary Diffusion State Neural Estimation for Multiview Clustering AAAI 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs NIPS 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
Contrastive learning of strong-mixing continuous-time stochastic processes AISTATS 2021
GRAND: Graph Neural Diffusion ICML 2021
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Doubly infinite residual neural networks: a diffusion process approach JMLR 2021
Infinitely deep neural networks as diffusion processes AISTATS 2020
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification CVPR 2019
Learning by Unsupervised Nonlinear Diffusion JMLR 2019