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Workshop
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Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model
Aisha Belhadi
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Poster
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Tue 8:45
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Investigating how ReLU-networks encode symmetries
Georg Bökman · Fredrik Kahl
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Poster
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Wed 15:00
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GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
Xiao Zang · Miao Yin · Jinqi Xiao · Saman Zonouz · Bo Yuan
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Poster
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Wed 8:45
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Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Basile Confavreux · Poornima Ramesh · Pedro Goncalves · Jakob H Macke · Tim Vogels
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Poster
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Wed 15:00
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Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi · Daiki Chijiwa · Sekitoshi Kanai · Atsutoshi Kumagai · Hisashi Kashima
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Poster
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Tue 15:15
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Weakly Coupled Deep Q-Networks
Ibrahim El Shar · Daniel Jiang
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Poster
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Wed 15:00
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Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho · Kookjin Lee · Donsub Rim · Noseong Park
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Poster
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Wed 8:45
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What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven · Samuel Vaiter
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Workshop
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Sat 9:00
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Yulia Rubanova - Learning efficient and scalable simulation using graph networks.
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Poster
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Tue 15:15
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Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan · Gengchen Wei · Chen Yang · Shengzhong Zhang · zengfeng Huang
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Workshop
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GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian · Thiviyan Thanapalasingam · Emile van Krieken · Daniel Daza · Peter Bloem
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Workshop
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On the Synergy Between Label Noise and Learning Rate Annealing in Neural Network Training
Stanley Wei · Tongzheng Ren · Simon Du
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