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21 Results
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Poster
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Wed 7:30 |
Learning with Stochastic Orders Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh |
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Poster
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Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao · Ganghua Wang · Jiawei Zhang · Yuhong Yang · Jie Ding · VAHID TAROKH |
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Poster
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Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms Ximing Li · Chendi Wang · Guang Cheng |
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Poster
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Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity Clare Heinbaugh · Emilio Luz-Ricca · Huajie Shao |
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Poster
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Mon 2:30 |
Valid P-Value for Deep Learning-driven Salient Region Daiki Miwa · Vo Nguyen Le Duy · Ichiro Takeuchi |
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Oral
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Wed 6:10 |
Parametrizing Product Shape Manifolds by Composite Networks Josua Sassen · Klaus Hildebrandt · Martin Rumpf · Benedikt Wirth |
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Poster
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Wed 7:30 |
Parametrizing Product Shape Manifolds by Composite Networks Josua Sassen · Klaus Hildebrandt · Martin Rumpf · Benedikt Wirth |
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Poster
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Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information Yulun Wu · Rob Barton · Zichen Wang · Vassilis N. Ioannidis · Carlo De Donno · Layne Price · Luis Voloch · George Karypis |
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Poster
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Tue 7:30 |
Don’t fear the unlabelled: safe semi-supervised learning via debiasing Hugo Schmutz · Olivier HUMBERT · Pierre-Alexandre Mattei |