Hybrid Modeling of the Reversed‐Phase Chromatographic Purification of an Oligonucleotide: Few‐Shot Learning From Differentiable Physics Solver‐in‐the‐Loop
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DOI: 10.1002/bit.29018
Abstract: Hybrid models integrate mechanistic and data‐driven components, effectively addressing the challenges of limited process understanding and data availability typical of biopharmaceutical processes. In this study, we applied a hybrid modeling framework named differentiable physics solver‐in‐the‐loop… read more here.
Keywords: differentiable physics; reversed phase; solver loop; hybrid modeling ... See more keywords
Learning to Identify Physical Parameters from Video Using Differentiable Physics
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DOI: 10.1007/978-3-030-71278-5_4
Abstract: Video representation learning has recently attracted attention in computer vision due to its applications for activity and scene forecasting or vision-based planning and control. Video prediction models often learn a latent representation of video which… read more here.
Keywords: video; identify physical; physical properties; physics ... See more keywords
Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics
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DOI: 10.1007/s11263-021-01493-5
Abstract: Representation learning for video is increasingly gaining attention in the field of computer vision. For instance, video prediction models enable activity and scene forecasting or vision-based planning and control. In this article, we investigate the… read more here.
Keywords: differentiable physics; representation learning; physics; physical representation ... See more keywords