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21 Results
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Workshop
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Automated discovery of large-scale, noise-robust experimental designs in super-resolution microscopy Carla Rodríguez · Sören Arlt · Leonhard Möckl · Mario Krenn |
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Workshop
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Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data Kentaro Hoffman · Tyler H. McCormick |
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Workshop
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Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design Sahel Mohammad Iqbal · Hany Abdulsamad · Sara Perez-Vieites · Simo Sarkka · Adrien Corenflos |
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Workshop
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Data-Efficient Variational Mutual Information Estimation via Bayesian Self-Consistency Desi R Ivanova · Marvin Schmitt · Stefan Radev |
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Workshop
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Constrained Multi-objective Bayesian Optimization Diantong Li · Fengxue Zhang · Chong Liu · Yuxin Chen |
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Workshop
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Efficient Experimentation for Estimation of Continuous and Discrete Conditional Treatment Effects Muhammed Razzak · Panagiotis Tigas · Andrew Jesson · Yarin Gal · Uri Shalit |
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Poster
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Wed 11:00 |
Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi · Sina Akbari · Jalal Etesami · Negar Kiyavash · Patrick Thiran |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Workshop
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Evaluating synergies among generative design models for multi-objective optimization of drug-like proteins June Shin · Nathan Rollins · Jordan Anderson · Grace Carey · Allison Colthart · Thomas Hopf · Ivan Mascanfroni · Jyothsna Visweswaraiah · Yi Xing · Kevin Otipoby · Nathan Higginson-Scott · Ryan Peckner |