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September 7, 2026 Update September 8, 2026: Further companion papers are added with details at https://tensorlab.cms.caltech.edu/users/anima/euler.html Read our manuscript In the theory of partial differential equations (PDEs), an important problem is ana…
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AI4Science in the limelight: We developed AI methods for simulating complex multi-scale phenomena such as weather, materials, etc. with orders of magnitude speed-ups.
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2020 has been an exciting time for DL frameworks and the AI stacks.
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Embodied AI is the union of “mind” (AI) and “body” (robotics).
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Generative models have greatly advanced over the last few years.
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2020 has been a landmark year for AI4science.
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In this post, I will focus on the new optimization methods we proposed in 2020.
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Distributional shifts are common in real-world problems, e.g. often simulation data is used to train in data-limited domains.
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2020 has been an unprecedented year.