Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

54 Results

<<   <   Page 4 of 5   >   >>
Poster
Thu 15:00 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao · Qiyu Kang · Yang Song · Rui She · Sijie Wang · Wee Peng Tay
Workshop
Adversarial Estimation of Topological Dimension with Harmonic Score Maps
Eric Yeats · Cameron Darwin · Frank Liu · Hai Li
Workshop
DGFN: Double Generative Flow Networks
Elaine Lau · Nikhil Murali Vemgal · Doina Precup · Emmanuel Bengio
Workshop
DGFN: Double Generative Flow Networks
Elaine Lau · Nikhil Murali Vemgal · Doina Precup · Emmanuel Bengio
Poster
Wed 15:00 Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi · Daiki Chijiwa · Sekitoshi Kanai · Atsutoshi Kumagai · Hisashi Kashima
Workshop
DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model
Wei Lu · Jixian Zhang · Huang Weifeng · Ziqiao Zhang · Chengtao Li · Shuangjia Zheng
Poster
Tue 8:45 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Haotian Xue · Alexandre Araujo · Bin Hu · Yongxin Chen
Poster
Thu 8:45 GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li · Lianghao Xia · Yong Xu · Chao Huang
Poster
Tue 8:45 Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Odelia Melamed · Gilad Yehudai · Gal Vardi
Workshop
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Trang Nguyen · Alexander Tong · Kanika Madan · Yoshua Bengio · Dianbo Liu
Workshop
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
Ce Zhang · Simon Stepputtis · Joseph Campbell · Katia Sycara · Yaqi Xie
Poster
Tue 8:45 Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
Lukas Gosch · Simon Geisler · Daniel Sturm · Bertrand Charpentier · Daniel Zügner · Stephan Günnemann