@jiequnh.bsky.social
Research Scientist @ Flatiron Institute, Simons Foudnation; PhD @ Princeton; Machine Learning for Scientific Computing since 2016. Opinions are my own.
Reposted
- "DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction" from @rdmorel.bsky.social, @jiequnh.bsky.social, Edouard Oyallon, in collaboration with #FlatironCCM.
📄 arxiv.org/abs/2504.19496
👤 Poster: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
📄 arxiv.org/abs/2504.19496
👤 Poster: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
July 9, 2025 at 9:21 AM
- "DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction" from @rdmorel.bsky.social, @jiequnh.bsky.social, Edouard Oyallon, in collaboration with #FlatironCCM.
📄 arxiv.org/abs/2504.19496
👤 Poster: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
📄 arxiv.org/abs/2504.19496
👤 Poster: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
Extremely humbled to receive this award and deeply grateful to my mentors, collaborators, friends, and family for their support along the way. Excited to continue contributing to scientific machine learning!
Congratulations to #FlatironCCM research scientist @jiequnh.bsky.social on being awarded SIAM's 2025 SIAG/CSE Early Career Prize! Read more: www.simonsfoundation.org/2025/02/24/c... #math
CCM Scientist Jiequn Han Receives Early Career Prize from Society of Industrial and Applied Mathematics
The Flatiron Institute’s Jiequn Han will receive the Early Career Prize from the Society of Industrial and Applied Mathematics.
www.simonsfoundation.org
March 4, 2025 at 9:33 PM
Extremely humbled to receive this award and deeply grateful to my mentors, collaborators, friends, and family for their support along the way. Excited to continue contributing to scientific machine learning!
Appreciate the shoutout, @nmboffi.bsky.social! I’m equally biased and couldn’t agree more—excited to see more exciting work on high-dimensional problems!
some really nice new work by @jiequnh.bsky.social and collaborators arxiv.org/abs/2409.08526
of course i'm super biased, but i think that figuring out how to solve high-dimensional scientific computing problems with ML has potentially very high impact. i'd love to see more work like this
of course i'm super biased, but i think that figuring out how to solve high-dimensional scientific computing problems with ML has potentially very high impact. i'd love to see more work like this
Deep Picard Iteration for High-Dimensional Nonlinear PDEs
We present the Deep Picard Iteration (DPI) method, a new deep learning approach for solving high-dimensional partial differential equations (PDEs). The core innovation of DPI lies in its use of Picard...
arxiv.org
January 26, 2025 at 2:16 PM
Appreciate the shoutout, @nmboffi.bsky.social! I’m equally biased and couldn’t agree more—excited to see more exciting work on high-dimensional problems!
Just learned from a mail that my PhD thesis on ProQuest can generate a bit of royalty income for a few cups of coffee. Ironically, though largely based on my papers, it’s the only thing that has ever paid me. Academic publishing works in mysterious ways…
www.proquest.com/openview/281...
www.proquest.com/openview/281...
Deep Learning for Large-scale Molecular Dynamics and High-dimensional Partial Differential Equations - ProQuest
Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.
www.proquest.com
January 8, 2025 at 4:07 AM
Just learned from a mail that my PhD thesis on ProQuest can generate a bit of royalty income for a few cups of coffee. Ironically, though largely based on my papers, it’s the only thing that has ever paid me. Academic publishing works in mysterious ways…
www.proquest.com/openview/281...
www.proquest.com/openview/281...