Michael Cardei
@michaelcardei.bsky.social
Ph.D. Student in Computer Science at the University of Virginia
Researching Responsible Generative AI
Member of the RAISE Group
Personal Website: https://michaelcardei.github.io/
Researching Responsible Generative AI
Member of the RAISE Group
Personal Website: https://michaelcardei.github.io/
Reposted by Michael Cardei
Excited to share that our work "Neuro-Symbolic Generative Diffusion Models" received a DARPA Disruptive Idea Award at NeuS 2025! 🌟
This work pushes toward integrating symbolic reasoning and generative modeling to meet the safety and robustness demands of scientific applications.
This work pushes toward integrating symbolic reasoning and generative modeling to meet the safety and robustness demands of scientific applications.
May 31, 2025 at 1:43 AM
Excited to share that our work "Neuro-Symbolic Generative Diffusion Models" received a DARPA Disruptive Idea Award at NeuS 2025! 🌟
This work pushes toward integrating symbolic reasoning and generative modeling to meet the safety and robustness demands of scientific applications.
This work pushes toward integrating symbolic reasoning and generative modeling to meet the safety and robustness demands of scientific applications.
Reposted by Michael Cardei
Excited to share our #NeurIPS2024 work on combining diffusion models with constrained optimization to generate data adhering to constraints and physical principles (with guarantees!) will be a spotlight at the workshop on AI for Accelerated Materials Design!
🔗 arxiv.org/abs/2402.03559
🔗 arxiv.org/abs/2402.03559
November 18, 2024 at 1:18 AM
Excited to share our #NeurIPS2024 work on combining diffusion models with constrained optimization to generate data adhering to constraints and physical principles (with guarantees!) will be a spotlight at the workshop on AI for Accelerated Materials Design!
🔗 arxiv.org/abs/2402.03559
🔗 arxiv.org/abs/2402.03559
Reposted by Michael Cardei
Reposted by Michael Cardei
I created 3 introductory notebooks on Flow Matching models to help get started with this exciting topic! ✨
1. Annotated Flow Matching paper: github.com/gle-bellier/...
2. Discrete Flow Matching: github.com/gle-bellier/...
3. Minimal FM in Jax: github.com/gle-bellier/...
1. Annotated Flow Matching paper: github.com/gle-bellier/...
2. Discrete Flow Matching: github.com/gle-bellier/...
3. Minimal FM in Jax: github.com/gle-bellier/...
GitHub - gle-bellier/flow-matching: Annotated Flow Matching paper
Annotated Flow Matching paper. Contribute to gle-bellier/flow-matching development by creating an account on GitHub.
github.com
November 18, 2024 at 9:43 AM
I created 3 introductory notebooks on Flow Matching models to help get started with this exciting topic! ✨
1. Annotated Flow Matching paper: github.com/gle-bellier/...
2. Discrete Flow Matching: github.com/gle-bellier/...
3. Minimal FM in Jax: github.com/gle-bellier/...
1. Annotated Flow Matching paper: github.com/gle-bellier/...
2. Discrete Flow Matching: github.com/gle-bellier/...
3. Minimal FM in Jax: github.com/gle-bellier/...
Reposted by Michael Cardei
I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix
November 10, 2024 at 12:11 AM
I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix