CSML IIT Lab
@pontilgroup.bsky.social
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
📢 Upcoming Talk at Our Lab
We’re excited to host Arthur Bizzi from EPFL for a research talk next week!
Title: Towards Neural Kolmogorov Equations: Parallelizable SDE Learning with Neural PDEs
🗓 Date: November 19
⏰ Time: 16:00 CET
📍 Galileo Sala, CHT @iitalk.bsky.social
We’re excited to host Arthur Bizzi from EPFL for a research talk next week!
Title: Towards Neural Kolmogorov Equations: Parallelizable SDE Learning with Neural PDEs
🗓 Date: November 19
⏰ Time: 16:00 CET
📍 Galileo Sala, CHT @iitalk.bsky.social
November 14, 2025 at 2:03 PM
📢 Upcoming Talk at Our Lab
We’re excited to host Arthur Bizzi from EPFL for a research talk next week!
Title: Towards Neural Kolmogorov Equations: Parallelizable SDE Learning with Neural PDEs
🗓 Date: November 19
⏰ Time: 16:00 CET
📍 Galileo Sala, CHT @iitalk.bsky.social
We’re excited to host Arthur Bizzi from EPFL for a research talk next week!
Title: Towards Neural Kolmogorov Equations: Parallelizable SDE Learning with Neural PDEs
🗓 Date: November 19
⏰ Time: 16:00 CET
📍 Galileo Sala, CHT @iitalk.bsky.social
Excited to share our group’s latest work at #AISTATS2025! 🎓
Tackling concentration in dependent data settings with empirical Bernstein bounds for Hilbert space-valued processes.
📍Catch the poster tomorrow!
🔁 See the original tweet for details!
Tackling concentration in dependent data settings with empirical Bernstein bounds for Hilbert space-valued processes.
📍Catch the poster tomorrow!
🔁 See the original tweet for details!
🚨 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...
📍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 6:36 PM
Excited to share our group’s latest work at #AISTATS2025! 🎓
Tackling concentration in dependent data settings with empirical Bernstein bounds for Hilbert space-valued processes.
📍Catch the poster tomorrow!
🔁 See the original tweet for details!
Tackling concentration in dependent data settings with empirical Bernstein bounds for Hilbert space-valued processes.
📍Catch the poster tomorrow!
🔁 See the original tweet for details!
DeltaProduct is here! Achieve better state tracing through highly parallel execution. Explore more!🚀
1/9 There is a fundamental tradeoff between parallelizability and expressivity of Large Language Models. We propose a new linear RNN architecture, DeltaProduct, that can effectively navigate this tradeoff. Here's how!
April 9, 2025 at 10:11 AM
DeltaProduct is here! Achieve better state tracing through highly parallel execution. Explore more!🚀
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
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! 🧵👇
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...
pietronvll.github.io/the-operator...
January 15, 2025 at 10:31 AM
An inspiring dive into understanding dynamical processes through 'The Operator Way.' A fascinating approach made accessible for everyone—check it out! 👇👀
Reposted by CSML IIT Lab
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"
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
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"
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 :)
Reposted by CSML IIT Lab
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”
“When solving a given problem, try to avoid a more general problem as an intermediate step”
December 12, 2024 at 5:19 PM
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”
“When solving a given problem, try to avoid a more general problem as an intermediate step”
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 2:39 AM
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.
Reposted by CSML IIT Lab
🎉 I am happy to share that I co-authored my first paper, “Operator World Models for Reinforcement Learning,” published at #NeurIPS2024! 🚀 Glad to present it in Vancouver 🇨🇦. See you there! #AI #ReinforcementLearning
@pontilgroup.bsky.social
arxiv.org/pdf/2406.19861
@pontilgroup.bsky.social
arxiv.org/pdf/2406.19861
arxiv.org
November 26, 2024 at 11:42 AM
🎉 I am happy to share that I co-authored my first paper, “Operator World Models for Reinforcement Learning,” published at #NeurIPS2024! 🚀 Glad to present it in Vancouver 🇨🇦. See you there! #AI #ReinforcementLearning
@pontilgroup.bsky.social
arxiv.org/pdf/2406.19861
@pontilgroup.bsky.social
arxiv.org/pdf/2406.19861