Nando Fioretto
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
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.
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
"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
April 29, 2025 at 11:43 AM
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
"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
Reposted by Nando Fioretto
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
This Friday, where will you be?
standupforscience2025.org
March 2, 2025 at 4:27 PM
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
This Friday, where will you be?
standupforscience2025.org
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
I am excited about our program and lineup of invited speakers!
Check out the program here: ppai-workshop.github.io
March 2, 2025 at 12:05 AM
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
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)
The paper "Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes" shows how sampling errors in survey data can introduce (1/2)
February 27, 2025 at 12:17 PM
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)
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.
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
February 13, 2025 at 11:30 AM
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.
Congrats to my student Vincenzo Di Vito!
We show how to build neural surrogates to solve constrained optimization problems coupled with system dynamics.
I just want to scream at my LaTeX compiler today! 😭
February 1, 2025 at 6:27 PM
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?
December 15, 2024 at 5:50 PM
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?
December 14, 2024 at 1:48 PM
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!
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
December 12, 2024 at 5:41 AM
Tomorrow (Dec 12) poster #2503! Come talk with us about our #NeurIPS work on constrained diffusion models!
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
Title of his dissertation: "Integrating Constrained Optimization with Machine Learning to Enhance Data-Driven Decision Making"
j-kota.github.io
December 3, 2024 at 1:30 AM
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
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? 🤔
November 28, 2024 at 12:19 PM
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...
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...
Sixth AAAI Workshop on Privacy-Preserving Artificial Intelligence
ppai-workshop.github.io
November 23, 2024 at 12:47 AM
🆘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...
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!
The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) (ppai-workshop.github.io) looks forward to receive your best work!
November 21, 2024 at 12:59 AM
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!
The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) (ppai-workshop.github.io) looks forward to receive your best work!
Reposted by Nando Fioretto
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
#DifferentialPrivacy starter pack by @thegautamkamath.bsky.social
Differential Privacy Researchers
Join the conversation
go.bsky.app
November 19, 2024 at 7:30 PM
#DifferentialPrivacy starter pack by @thegautamkamath.bsky.social
Reposted by Nando Fioretto
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
Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes
https://arxiv.org/abs/2408.08471
August 19, 2024 at 4:01 AM
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
Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes
https://arxiv.org/abs/2408.08471
Reposted by Nando Fioretto
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!
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
November 14, 2024 at 3:04 PM
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!
I was asked to contribute to the first, intro chapter, available here: arxiv.org/abs/2411.04710
Full book available soon!
Reposted by Nando Fioretto
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.
📢 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...
FORC Job List 2024-2025
If you would like to be included in the "FORC" job list for graduating PhDs, postdocs and other junior researchers, or if you would like to nominate someone, fill out the form below. The intention is ...
forms.gle
November 18, 2024 at 1:49 AM
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.
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
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...
Stop by if you are attending and interested!
sc24.conference-program.com/presentation...
Presentation – SC24 Schedule
sc24.conference-program.com
November 17, 2024 at 10:11 AM
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...
Stop by if you are attending and interested!
sc24.conference-program.com/presentation...
Reposted by Nando Fioretto
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
Let me know if I missed you!
go.bsky.app/RMJ8q3i
November 11, 2024 at 3:27 PM
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
Let me know if I missed you!
go.bsky.app/RMJ8q3i
Reposted by Nando Fioretto
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.
Also if you have recommendations of people to add, feel free to send them my way.
November 8, 2024 at 4:38 PM
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.
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.
🔗 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.
Sixth AAAI Workshop on Privacy-Preserving Artificial Intelligence
ppai-workshop.github.io
November 16, 2024 at 10:16 PM
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.
🔗 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.