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21 Results
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Poster
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Wed 9:00 |
Adversarial Reprogramming Revisited Matthias Englert · Ranko Lazic |
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Poster
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Thu 14:00 |
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu · Ziqi Zhao · Sabine Süsstrunk · Mathieu Salzmann |
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Workshop
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Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann |
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Poster
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Wed 14:00 |
Exploring through Random Curiosity with General Value Functions Aditya Ramesh · Louis Kirsch · Sjoerd van Steenkiste · Jürgen Schmidhuber |
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Poster
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Thu 9:00 |
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang |
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Poster
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Tue 9:00 |
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten · Jan Schuchardt · Simon Geisler · Aleksandar Bojchevski · Stephan Günnemann |
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Poster
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Tue 9:00 |
On Scrambling Phenomena for Randomly Initialized Recurrent Networks Vaggos Chatziafratis · Ioannis Panageas · Clayton Sanford · Stelios Stavroulakis |
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Poster
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Wed 14:00 |
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Toth · Darrick Lee · Celia Hacker · Harald Oberhauser |
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Workshop
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Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao · Yunan Luo · Mia Liu · Pan Li |
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Poster
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Tue 14:00 |
Thinned random measures for sparse graphs with overlapping communities Federica Zoe Ricci · Michele Guindani · Erik Sudderth |
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Poster
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Wed 14:00 |
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey · Ron Levie · Yunseok Lee · Gitta Kutyniok |
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Workshop
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Exploring Randomly Wired Neural Networks for Climate Model Emulation William Yik · Sam Silva · Andrew Geiss · Duncan Watson-Parris |