Co-occurring keywords · papers mentioning both
Papers
Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds
COLT 2026
Revisiting CAD Model Generation by Learning Raster Sketch
AAAI 2025
Double Auction on Diffusion Network
AAAI 2024
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
ECCV 2024
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
AAAI 2024
Learning Diffusions under Uncertainty
AAAI 2024
Reconstructing Diffusion Networks from Incomplete Data
IJCAI 2022
Diffusion Network Inference from Partial Observations
AAAI 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
ICML 2021
Learning Diffusions without Timestamps
AAAI 2019
DifNet: Semantic Segmentation by Diffusion Networks
NeurIPS 2018
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
JMLR 2016
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
NeurIPS 2015
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
AISTATS 2015
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
ICML 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
COLT 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
NeurIPS 2014
Scalable Influence Estimation in Continuous-Time Diffusion Networks
NeurIPS 2013
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
NeurIPS 2010