|
Poster
|
Tue 17:00
|
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West
|
|
|
Workshop
|
|
Learning Exponential Families from Truncated Samples
Jane Lee · Andre Wibisono · Manolis Zampetakis
|
|
|
Poster
|
Thu 16:30
|
Disentangled Multiplex Graph Representation Learning
Yujie Mo · Yajie Lei · Jialie SHEN · Xiaoshuang Shi · Heng Tao Shen · Xiaofeng Zhu
|
|
|
Workshop
|
|
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen Wang · Ruoxi Jia
|
|
|
Workshop
|
|
Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk
|
|
|
Workshop
|
|
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell · Antonio Zippo · Luca Passamonti · Nicola Toschi · Pietro Lió
|
|
|
Workshop
|
|
The Future of Cyber Systems: Human-AI Reinforcement Learning with Adversarial Robustness
|
|
|
Workshop
|
|
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell · Antonio Zippo · Luca Passamonti · Nicola Toschi · Pietro Lió
|
|
|
Poster
|
Tue 14:00
|
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra · Zhongxiang Dai · Jasraj Singh · See-Kiong Ng · Bryan Kian Hsiang Low
|
|
|
Poster
|
Tue 17:00
|
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Ezgi Korkmaz · Jonah Brown-Cohen
|
|
|
Poster
|
Wed 17:00
|
Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen · Jiaqi Han · Fuchun Sun · Wenbing Huang
|
|
|
Poster
|
Wed 17:00
|
Fisher Information Embedding for Node and Graph Learning
Dexiong Chen · Paolo Pellizzoni · Karsten Borgwardt
|
|
