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.

If you are at #NAACL2025 check out our oral: 🔥 "Speculative Diffusion Decoding: Accelerating Language generation through diffusion" We use discrete diffusion as a drafting model to speed up #LLM inference---up to 7.2x faster over standard generation 🚀 tiny.cc/xt0i001

We are experiencing an assault on science unparalleled by anything I’ve seen in my life. It’s not one issue or another anymore, the entire institution is under attack by the most powerful individuals in the country. This Friday, where will you be? standupforscience2025.org

STAND UP FOR SCIENCE

March 7, 2025. Washington DC and nationwide. Because science is for everyone.

standupforscience2025.org

Stand Up for Science!@standupforscience.net · 2y ago

Welcome to the Bluesky account for Stand Up for Science 2025! Keep an eye on this space for updates, event information, and ways to get involved. We can't wait to see everyone #standupforscience2025 on March 7th, both in DC and locations nationwide! #scienceforall #sciencenotsilence

The Privacy Preserving AI workshop is back! And is happening on Monday. I am excited about our program and lineup of invited speakers! Check out the program here: ppai-workshop.github.io

If you are at #AAAI2025 come and see our oral presentation today in Room 122A at 11:15AM. The paper "Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes" shows how sampling errors in survey data can introduce (1/2)

Learning to Solve Differential Equation Constrained Optimization Problems was awarded a spotlight at ICLR 2025 ✨ Congrats to my student Vincenzo Di Vito! We show how to build neural surrogates to solve constrained optimization problems coupled with system dynamics.

Learning To Solve Differential Equation Constrained Optimization Problems

Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology, and finance, where o...

arxiv.org

I just want to scream at my LaTeX compiler today! 😭

What are your biggest takes from attending #NeurIPS24? Where do you think the field is moving/should move?

Is there a Machine Learning floor in my hotel?

Tomorrow (Dec 12) poster #2503! Come talk with us about our #NeurIPS work on constrained diffusion models!

Nando Fioretto@nandofioretto.bsky.social · 2y ago

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

I'll be at #NeurIPS from Thursday to Saturday. DM me I'd you like to chat about generative ML for science or responsible AI broadly!

Huge congratulations to James Kotary on defending his dissertation with flying colors!! 👏🔥🎉 Title of his dissertation: "Integrating Constrained Optimization with Machine Learning to Enhance Data-Driven Decision Making" j-kota.github.io

Receiving reviews on Thanksgiving day is brutal! Should you be thankful for the reviews received? 🤔

🆘Help needed! Are you working on Privacy (from a Technical (e.g., Differential Privacy), Policy, or Law perspective)? Please give your availability to review for PPAI (ppai-workshop.github.io) if you can! We'd highly appreciate it! 🙏 forms.gle/dqjVsBsR2y81...

You ask and PPAI listens! We have extended the submission deadline of a few days, now papers are accepted until **November 29**! The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) (ppai-workshop.github.io) looks forward to receive your best work!

Nando Fioretto@nandofioretto.bsky.social · 2y ago

The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) is back! 🔗 ppai-workshop.github.io **Submission deadline: Nov, 24** Topics of particular interest: - policy considerations for privacy; - privacy in AI agents and LLMs; - societal impact of privacy within AI.

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

#DifferentialPrivacy starter pack by @thegautamkamath.bsky.social

Differential Privacy Researchers

Join the conversation

go.bsky.app

Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes https://arxiv.org/abs/2408.08471

Going to advertise this here too, but we have a new book on differential privacy led by Nando Fioretto and Pascal Van Hentenryck! I was asked to contribute to the first, intro chapter, available here: arxiv.org/abs/2411.04710 Full book available soon!

Differential Privacy Overview and Fundamental Techniques

This chapter is meant to be part of the book "Differential Privacy in Artificial Intelligence: From Theory to Practice" and provides an introduction to Differential Privacy. It starts by illustrating ...

arxiv.org

If you are on the job market, and work on the kinds of topics that might be published in FORC ("Foundations of Responsible Computing"), fill out this form and get on the job list. This covers mathematical research on privacy, fairness, and related topics.

Clément Canonne@ccanonne.github.io · 2y ago

📢 Some good folks (so, not me :)) in the Foundations of Responsible Computing are putting together a list of people (students and postdocs) on the job market this year. If you or would like to be included, or you would like to nominate someone, use the following form: forms.gle/hn8QyH1y2wbs...

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

I am giving a talk on differential privacy and fairness at the Workshop on Cyber Security in High Performance Computing (at SC 2024) today. Stop by if you are attending and interested! sc24.conference-program.com/presentation...

I made a starter pack with the people doing something related to Neurosymbolic AI that I could find. Let me know if I missed you! go.bsky.app/RMJ8q3i

New starter pack if you're looking for the #orms community on here: go.bsky.app/SvBND16 Also if you have recommendations of people to add, feel free to send them my way.

The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) is back! 🔗 ppai-workshop.github.io **Submission deadline: Nov, 24** Topics of particular interest: - policy considerations for privacy; - privacy in AI agents and LLMs; - societal impact of privacy within AI.

Differential Privacy Overview and Fundamental Techniques Ferdinando Fioretto, Pascal Van Hentenryck, Juba Ziani http://arxiv.org/abs/2411.04710