Skip to content
conftrace_

diffusion network

19 papers

DN

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