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55 Results
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Workshop
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Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site Sandeep Chinta · Xiang Gao · Qing Zhu |
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Poster
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Thu 15:00 |
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin · Dmitry Molchanov · Arkhipkin Vladimir · Grigory Bartosh · Viktor Ohanesian · Aibek Alanov · Dmitry Vetrov |
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Poster
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Thu 8:45 |
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann · Philipp Becker · Michael Volpp · Gerhard Neumann |
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Poster
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Thu 8:45 |
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Geon Yeong Park · Jeongsol Kim · Beomsu Kim · Sang Wan Lee · Jong Chul Ye |
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Workshop
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A Bayesian Approach to Designing Microstructures and Processing Pathways for Tailored Material Properties Adam Generale · Conlain Kelly · Grayson Harrington · Andreas Robertson · Michael Buzzy · Surya Kalidindi |
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Poster
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Thu 15:00 |
Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim Nicoli · Christopher J. Anders · Lena Funcke · Tobias Hartung · Karl Jansen · Stefan Kühn · Klaus-Robert Müller · Paolo Stornati · Pan Kessel · Shinichi Nakajima |
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Workshop
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Improved Black-box Variational Inference for High-dimensional Bayesian Inversion involving Black-box Simulators Dhruv Patel · Jonghyun Lee · Matthew Farthing · Tyler Hesser · Peter Kitanidis · Eric Darve |