New preprint 🚨!
I’m really excited about this work led by @ishume.bsky.social :)
We introduce Grinch, a framework that uses GFlowNets to construct quantum optical circuit graphs from the bottom up, edge-by-edge.
📜: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys
I’m really excited about this work led by @ishume.bsky.social :)
We introduce Grinch, a framework that uses GFlowNets to construct quantum optical circuit graphs from the bottom up, edge-by-edge.
📜: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys
September 10, 2026 at 5:58 PM
New preprint 🚨!
I’m really excited about this work led by @ishume.bsky.social :)
We introduce Grinch, a framework that uses GFlowNets to construct quantum optical circuit graphs from the bottom up, edge-by-edge.
📜: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys
I’m really excited about this work led by @ishume.bsky.social :)
We introduce Grinch, a framework that uses GFlowNets to construct quantum optical circuit graphs from the bottom up, edge-by-edge.
📜: arxiv.org/abs/2609.08073
#AIForScience #ML4Phys
🚨 New paper accepted at #NeurIPS2025 #ML4Phys!
We propose Meta-Learning Fourier Neural Operators to approximate inverse Hessians for variational data assimilation.
We propose Meta-Learning Fourier Neural Operators to approximate inverse Hessians for variational data assimilation.
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Data assimilation (DA) is crucial for enhancing solutions to partial differential equations (PDEs), such as those in numerical weather prediction, by optimizing initial conditions using observational ...
arxiv.org
September 30, 2025 at 1:45 PM
🚨 New paper accepted at #NeurIPS2025 #ML4Phys!
We propose Meta-Learning Fourier Neural Operators to approximate inverse Hessians for variational data assimilation.
We propose Meta-Learning Fourier Neural Operators to approximate inverse Hessians for variational data assimilation.
🚨 if you are interested on GFlowNets for the electronic structure problem and NISQ, come chat with us at the #ml4ps2024 #NeurIPS2024 @ML4PhyS
📃 doi.org/10.48550/arXiv…
@ishume94
📃 doi.org/10.48550/arXiv…
@ishume94
December 15, 2024 at 5:28 PM
🚨 if you are interested on GFlowNets for the electronic structure problem and NISQ, come chat with us at the #ml4ps2024 #NeurIPS2024 @ML4PhyS
📃 doi.org/10.48550/arXiv…
@ishume94
📃 doi.org/10.48550/arXiv…
@ishume94
Our new framework can potentially advance the frontiers of expensive and multi-scale simulations, which remain challenging even with the largest supercomputers.
(Left: direct simulation; Right: our framework)
Check out our latest results @NeurIPSConf @ML4PhyS on Dec. 15!
(Left: direct simulation; Right: our framework)
Check out our latest results @NeurIPSConf @ML4PhyS on Dec. 15!
December 15, 2024 at 3:08 AM
Our new framework can potentially advance the frontiers of expensive and multi-scale simulations, which remain challenging even with the largest supercomputers.
(Left: direct simulation; Right: our framework)
Check out our latest results @NeurIPSConf @ML4PhyS on Dec. 15!
(Left: direct simulation; Right: our framework)
Check out our latest results @NeurIPSConf @ML4PhyS on Dec. 15!
Great week at @neuripsconf.bsky.social ! Excited to present my work on GFlowNets for Chemistry in Quantum Computers at the Machine Learning and the Physical Sciences workshop with @rovargash.bsky.social 😬
#NeurIPS2024 #ml4ps2024 #ml4phys #compchem
#NeurIPS2024 #ml4ps2024 #ml4phys #compchem
December 15, 2024 at 10:51 PM
Great week at @neuripsconf.bsky.social ! Excited to present my work on GFlowNets for Chemistry in Quantum Computers at the Machine Learning and the Physical Sciences workshop with @rovargash.bsky.social 😬
#NeurIPS2024 #ml4ps2024 #ml4phys #compchem
#NeurIPS2024 #ml4ps2024 #ml4phys #compchem
Our most recent work, accepted to ML4Phys workshop at NeurIPS!
📝: arxiv.org/abs/2410.16041
We employed GFlowNets to generate groupings of molecular Hamiltonians aimed to reduce the required number of measurements. 🧑💻
#compchem #quantumcomputing #chemsky
📝: arxiv.org/abs/2410.16041
We employed GFlowNets to generate groupings of molecular Hamiltonians aimed to reduce the required number of measurements. 🧑💻
#compchem #quantumcomputing #chemsky
November 20, 2024 at 11:27 PM
Our most recent work, accepted to ML4Phys workshop at NeurIPS!
📝: arxiv.org/abs/2410.16041
We employed GFlowNets to generate groupings of molecular Hamiltonians aimed to reduce the required number of measurements. 🧑💻
#compchem #quantumcomputing #chemsky
📝: arxiv.org/abs/2410.16041
We employed GFlowNets to generate groupings of molecular Hamiltonians aimed to reduce the required number of measurements. 🧑💻
#compchem #quantumcomputing #chemsky