Ali Ramezani(@aramezanik) 's Twitter Profileg
Ali Ramezani

@aramezanik

Associate Prof. in CS @UniOslo🇳🇴
PI Norwegian Centre for Knowledge-driven ML
PI @SFI_VI
Member @ELLISforEurope
Previously @EPFL_en @VectorInst @UofT 🇨🇦

ID:1320460337741791233

linkhttps://alirk.github.io/ calendar_today25-10-2020 20:22:28

198 Tweets

177 Followers

121 Following

Ali Ramezani(@aramezanik) 's Twitter Profile Photo

I will be an Area Chair of NeurIPS 2024. My plan to serve our ML community the way it deserves:

Do my best to find the most relevant reviewers for each paper.

Make sure reviewers engage properly with authors.

Read each rebuttal and comment to make informed decisions.

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

REMINDER: 13 PhD positions in Norway

DEADLINE: Monday March 4

APP. LINK: jobbnorge.no/en/available-j…

Start your interdisciplinary PhD in with engaged supervisors and many fellow students.

Projects: integreat.no/about/vacancie…

Journal of Machine Learning Research Transactions on Machine Learning Research NeurIPS Conference ICLR 2024 ICML Conference

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

If you have questions regarding 13 PhD Positions at Integreat - Norwegian Centre for Knowledge-driven Machine Learning, do not miss this open zoom meeting happening in a few minutes:

integreat.no/events/public-…

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

RobustTailor formulates a realistic game between an attacker and a server each equipped with a set of poly-time runnable attack/defense programs and optimize their actions by simulation with regret bounds. The game framework can be applied in practice beyond ML Security ...

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Wanyun Xie(@WanyunXie) 's Twitter Profile Photo

Servers in federated learning are vulnerable. Despite numerous robust aggregators proposed, none are entirely immune to attacks. By framing the robust learning problem as a strategic game between an adversary and a server, RobustTailor boosts existing aggregators via simulation.

Servers in federated learning are vulnerable. Despite numerous robust aggregators proposed, none are entirely immune to attacks. By framing the robust learning problem as a strategic game between an adversary and a server, RobustTailor boosts existing aggregators via simulation.
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Wanyun Xie(@WanyunXie) 's Twitter Profile Photo

“Mixed Nash for Robust Federated Learning” introduces RobustTailor, a simulation-based framework boosting aggregators.

Designing an omnipotent defender is tough. Instead, utilize existing robust aggregators.

openreview.net/pdf?id=mqMzerr…

w/ Thomas Pethick Ali Ramezani Volkan Cevher

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

We have 36-month Postdoc Position in ML (Salary NOK 575 400 – 657 300):

Joint Physics-informed and Data-driven Complex Dynamical System Solvers

Reach out to me if you want to apply for this position.

jobbnorge.no/en/available-j…

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

For PhD candidates, one great paper (even one ongoing but 'super' draft) works better than several low-quality papers.

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Dan Alistarh(@DAlistarh) 's Twitter Profile Photo

The code for RoSA: Accurate Parameter-Efficient Fine-Tuning via Sparse + Low-Rank Adapters is now available:
github.com/IST-DASLab/RoSA
along with a PEFT integration
github.com/IST-DASLab/pef…
As a bonus, we also QRoSA, which implements the same idea, but with quantized base weights.

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Ali Ramezani(@aramezanik) 's Twitter Profile Photo

Super glad to be a panelist at AI Industry Week 10-12 April Telenor Arena & Online. Will talk about AI Cybersecurity Research & Science.

Do not miss this great event with major industries in AI and cybersecurity!

aiindustryweek.no/#speakers

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