Erfan Mirzaei
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erfunmirzaei.bsky.social
Erfan Mirzaei
@erfunmirzaei.bsky.social
Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova.
Interested in (deep) learning theory and others.
🚨 Poster at #AISTATS2025 tomorrow!
📍Poster Session 1 #125

We present a new empirical Bernstein inequality for Hilbert space-valued random processes—relevant for dependent, even non-stationary data.

w/ Andreas Maurer, @vladimir-slk.bsky.social & M. Pontil

📄 Paper: openreview.net/forum?id=a0E...
May 2, 2025 at 6:35 PM
Reposted by Erfan Mirzaei
1/ 🚀 Over the past two years, our team, CSML, at IIT, has made significant strides in the data-driven modeling of dynamical systems. Curious about how we use advanced operator-based techniques to tackle real-world challenges? Let’s dive in! 🧵👇
January 15, 2025 at 2:34 PM
Reposted by Erfan Mirzaei
An inspiring dive into understanding dynamical processes through 'The Operator Way.' A fascinating approach made accessible for everyone—check it out! 👇👀
For the past four years, I’ve been working on a topic that’s both fascinating and challenging to explain. In this post, I’ve tried to present The Operator Way — a paradigm for understanding dynamical processes — in plain, approachable terms.

pietronvll.github.io/the-operator...
January 15, 2025 at 10:31 AM
Reposted by Erfan Mirzaei
Excited to present
"Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues"
at the M3L workshop at #NeurIPS
https://buff.ly/3BlcD4y

If interested, you can attend the presentation the 14th at 15:00, pass at the afternoon poster session, or DM me to discuss :)
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Linear Recurrent Neural Networks (LRNNs) such as Mamba, RWKV, GLA, mLSTM, and DeltaNet have emerged as efficient alternatives to Transformers in large language modeling, offering linear scaling with…
buff.ly
December 10, 2024 at 10:52 PM
Reposted by Erfan Mirzaei
In his book “The Nature of Statistical Learning” V. Vapnik wrote:
“When solving a given problem, try to avoid a more general problem as an intermediate step”
December 12, 2024 at 5:19 PM
Excited to share our lab's amazing contributions at NeurIPS this year! Check out our papers and stay inspired! 🚀📚 #NeurIPS2024
At #NeurIPS2024 🇨🇦 our group will present 7 contributions! These span a diverse array of topics: from theoretical advances in stochastic processes and reinforcement learning to applications in molecular dynamics and uncertainty quantification.
December 10, 2024 at 6:18 AM
Reposted by Erfan Mirzaei
Hi 👋 We're glad to be here on @bsky.app and looking forward to engaging in this community. But first, learn a little more about us...

#ELLISforEurope #AI #ML #CrossBorderCollab #PhD
November 21, 2024 at 10:37 AM