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Poster
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Wed 8:45
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VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu · Haoze Wu · Clark Barrett
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Poster
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Wed 8:45
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Unbounded Differentially Private Quantile and Maximum Estimation
David Durfee
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Poster
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Wed 8:45
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Non-stationary Experimental Design under Linear Trends
David Simchi-Levi · Chonghuan Wang · Zeyu Zheng
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Poster
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Wed 8:45
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Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
Zebang Shen · Zhenfu Wang
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Poster
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Wed 8:45
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Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang · Xuefei Ning · Matthew Blaschko
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Poster
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Wed 8:45
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CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov · Alexander Nikulin · Dmitry Akimov · Vladislav Kurenkov · Sergey Kolesnikov
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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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Poster
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Tue 8:45
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Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks
Zihao Wang · Lei Wu
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Poster
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Wed 8:45
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Sheaf Hypergraph Networks
Iulia Duta · Giulia Cassarà · Fabrizio Silvestri · Pietro Lió
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Poster
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Wed 8:45
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Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
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Poster
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Tue 15:15
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Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius · Dimitar Georgiev · Artur Toshev · Johannes Gasteiger
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Poster
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Wed 8:45
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EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
Mohammad Mahdi Rahimi · Hasnain Irshad Bhatti · Younghyun Park · Humaira Kousar · Do-Yeon Kim · Jaekyun Moon
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