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Posts In #ml

Contraction can Help Safety Classifiers keep their Promise

Aug 12 2026 · 7 min read
#ml #controls

A safety classifier can tell us that a prompt looks harmful. That is useful. But it is perhaps not the question we should stop at. Suppose a classifier sees a prompt and says that it is safe. Now …

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Can LLM Finetuning be Stateful? Small states for Large Models - Part 2

Aug 7 2026 · 6 min read
#ml #controls #state_space_models #linear_algebra

The code for this project can be found at: https://github.com/omanshuthapliyal/HRM-adapter. And the paper can be found at: https://arxiv.org/pdf/2606.26290.

In the previous post, I introduced …

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Can LLM Finetuning be Stateful? Small states for Large Models - Part 1

Jul 31 2026 · 6 min read
#ml #controls #state_space_models #linear_algebra

In the last post I talked about Hankel operators of simple linear dynamical systems. Such operators, and either eigenvalues, “can be used as a proxy for how much memory a task actually …

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What Hankel Spectra Reveal About Memory

May 26 2026 · 4 min read
#statistics #ml #maths

Suppose we are given a linear dynamical system $$G=(A,B,C,D)$$ (recall that a linear system is an input $$x$$ to output $$y$$ map such that $$y_k = Cx_k + Du_k, x_{k+1}=Ax_k+Bu_k$$), and $$G$$ has …

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Why are Gaussian distributions present Everywhere?

Jan 11 2026 · 7 min read
#statistics #ml #maths

Well, if one were to cut to the chase, it appears to be because of the Central Limit Theorem (CLT). However, there is more underlying structure under the hood as to why the Gaussians seem to be the …

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State Space Models: How Control Theory can echo Machine Learning

Oct 6 2025 · 6 min read
#ml #controls #state_space_models #linear_algebra

I wrote in a previous post how transformers are kind of like system identification methods applied to some sequence in a state space. In this post we try to understand if the other way round is …

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How Transformers Echo Control Theory

Sep 27 2025 · 6 min read
#ml #controls

Transformer models have captivated a lot of AI research in most of the past decade, and in this post my goal is to make them seem more interesting to controls people, who have much to contribute to …

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Reward is enough — when can we "reinforce" the learning?

Aug 13 2025 · 4 min read
#rl #ml #research

This blog post summarizes the papers Settling the Reward Hypothesis1 and Utility Theory for Sequential Decision Making 2.

The reward hypothesis is at the core of Reinforcement Learning (RL) in that …

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Technology Readiness Levels of AI methods

Oct 15 2024 · 4 min read
#controls #autonomy #ml #research

Recent news of the SpaceX catching its Starship Super Heavy booster1 is quite discussed and marveled upon in the media, and rightly so. Executing what was done can perhaps be explained as trying to …

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MLP Approximation

Sep 12 2019 · 2 min read
#ml #maths #analysis

Almost always we hear about classification or machine learning problems, the go-to methods to solve the problem are neural networks, or multi-layered percetrons (MLP). Now function approximation …

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ML SoTA Resources

Aug 18 2019 · 2 min read
#resource #ml

The internet is filled with machine learning resources, and one of the most annoying things about them is the sheer volume. There are many attempts at making compilations of papers, code, and current …

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