Login
Yuesong Shen
PhD StudentTechnical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17790
Fax: +49-89-289-17757
Office: 02.09.039
Mail: yuesong [dot] shen [at] in [dot] tum [dot] de
Research Interests
(Bayesian) deep learning, uncertainty estimation, probabilistic graphical models, machine learning, and how to apply them in computer vision.
Teaching
Summer Term 2022
Winter Term 2021/2022
Summer Term 2021
Winter Term 2020/2021
Summer Term 2020
Winter Term 2019/2020
Summer Term 2019
Winter Term 2018/2019
Export as PDF, XML, TEX or BIB
2024
Conference and Workshop Papers
[] 
Variational Learning is Effective for Large Deep Networks , In International Conference on Machine Learning (ICML), 2024. ([code][blog][tutorial])
Spotlight [] 
Transferability for Graph Convolutional Networks , In ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2024.
Outstanding Extended Abstract
2023
Conference and Workshop Papers
[] 
ResolvNet: A Graph Convolutional Network with multi-scale Consistency , In NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023.
Oral Presentation [] 
Beyond In-Domain Scenarios: Robust Density-Aware Calibration , In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.
2022
Conference and Workshop Papers
[] 
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs , In NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022. ([code])
[] 
Deep Combinatorial Aggregation , In NeurIPS, 2022. ([code][blog])
[] 
What Makes Graph Neural Networks Miscalibrated? , In NeurIPS, 2022. ([code])
2021
Conference and Workshop Papers
[] 
Explicit pairwise factorized graph neural network for semi-supervised node classification , In UAI, 2021. ([code])
