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Poster
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Fri 16:30
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Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
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Workshop
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Optimal Spectroscopic Measurement Design: Bayesian Framework for Rational Data Acquisition
Yusei Ito · Yasuo Takeichi · Hideitsu Hino · Kanta Ono
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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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Atomic Layed Deposition Optimization via Targeted Adaptive Design.
Marieme Ngom · Carlo Graziani · Noah Paulson
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Oral
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Fri 15:50
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Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
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Workshop
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Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean
Carolin Benjamins · Shikha Surana · Oliver Bent · Marius Lindauer · Paul Duckworth
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Workshop
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Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes
Carolin Benjamins · Shikha Surana · Oliver Bent · Marius Lindauer · Paul Duckworth
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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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Fri 11:00
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Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
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Workshop
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An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer · Stefan M. Wild
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Workshop
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Amortized Decision-Aware Bayesian Experimental Design
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
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