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14 Results
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Workshop
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pyGSL: A Graph Structure Learning Toolkit Max Wasserman · Gonzalo Mateos |
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Poster
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Wed 14:00 |
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains Nicolai Engelmann · Heinz Koeppl |
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Poster
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Wed 9:00 |
Adjoint-aided inference of Gaussian process driven differential equations Paterne GAHUNGU · Christopher Lanyon · Mauricio A Álvarez · Engineer Bainomugisha · Michael T Smith · Richard Wilkinson |
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Poster
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Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |
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Poster
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Thu 14:00 |
VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler · Charles Zheng · Patrick McClure · Robert Vandermeulen · Martin N Hebart · Francisco Pereira |
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Workshop
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Few Shot Generative Domain Adaptation Via Inference-Stage Latent Learning in GANs Arnab Kumar Mondal · Piyush Tiwary · Parag Singla · Prathosh AP |
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Poster
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Thu 9:00 |
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi · Yusuke Iwasawa · Wataru Kumagai · Yutaka Matsuo |
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Workshop
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Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin Observatory Using Normalizing Flows Victoria Villar |
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Workshop
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Variational Graph Auto-Encoders for Heterogeneous Information Network Abhishek Dalvi · Ayan Acharya · Jing Gao · Vasant Honavar |
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Workshop
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Continuous cell-state density inference and applications for single-cell data Dominik Otto · Manu Setty · Brennan Dury |
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Poster
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Tue 9:00 |
Measuring Data Reconstruction Defenses in Collaborative Inference Systems Mengda Yang · Ziang Li · Juan Wang · Hongxin Hu · Ao Ren · Xiaoyang Xu · Wenzhe Yi |
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Poster
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Tue 9:00 |
Learning Latent Seasonal-Trend Representations for Time Series Forecasting Zhiyuan Wang · Xovee Xu · Weifeng Zhang · Goce Trajcevski · Ting Zhong · Fan Zhou |