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32 Results
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Poster
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang |
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Workshop
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DeepStruc: Towards structure solution from pair distribution function data using deep generative models Emil Thyge Skaaning Kjær · Andy S. Anker · Marcus Weng · Simon J. L. Billinge · Raghavendra Selvan · Kirsten Jensen |
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Poster
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Wed 14:00 |
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck · Christopher Williams · Dominic Danks · George Deligiannidis · Christopher Yau · Chris C Holmes · Arnaud Doucet · Matthew Willetts |
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Workshop
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Predicting Drug-Drug Interactions using Deep Generative Models on Graphs Khang Ngo · Truong Son Hy · Risi Kondor |
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Poster
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Tue 14:00 |
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve |
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Workshop
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Using hierarchical variational autoencoders to incorporate conditional independent priors for paired single-cell multi-omics data integration Ping-Han Hsieh · Ru-Xiu Hsiao · Tatiana Belova · Katalin Ferenc · Anthony Mathelier · Rebekka Burkholz · Chien-Yu Chen · Geir Kjetil Sandve · Marieke L Kuijjer |
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Poster
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Wed 9:00 |
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang · Xiaojie Guo · Xuanyang Lin · Bo Pan · Yuanqi Du · Yinkai Wang · Yanfang Ye · Ashley Petersen · Austin Leitgeb · Saleh Alkhalifa · Kevin Minbiole · William M. Wuest · Amarda Shehu · Liang Zhao |
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Workshop
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Simulation-based inference of the 2D ex-situ stellar mass fraction distribution of galaxies using variational autoencoders Eirini Angeloudi · Marc Huertas-Company · Jesús Falcón-Barroso · Regina Sarmiento · Daniel Walo-Martín · Annalisa Pillepich · Jesús Vega Ferrero |