Balázs Kégl – Medium

Balázs Kégl

Pinned

We need a new learning theory for embodied AI

This is an extended section from our Embodied AI ICML24 paper with Giuseppe Paolo and Jonas Gonzalez

Sep 25

Sep 25

Pinned

The case for aligning the AI scientist

Put on your oxygen mask first, before helping others

May 6, 2023

The case for aligning the AI scientist

May 6, 2023

On hallucinations

The unseen backbone of intelligence and LLMs

Dec 10, 2023

Dec 10, 2023

Navigating the maze of hyperparameter optimization: insights from a systematic study

Summary of my preprint https://arxiv.org/abs/2311.15854

Dec 2, 2023

Navigating the maze of hyperparameter optimization: insights from a systematic study

Dec 2, 2023

Mind everywhere, embodied AI of things, and the future of engineering

How will the next generation of systems look like?

Nov 13, 2023

Nov 13, 2023

GPT-4 in conversation with itself

From batshit crazy to informative but not yet human

May 18, 2023

GPT-4 in conversation with itself

May 18, 2023

I think this is a fantastic read, thank you, Vincent, I'm using it in our experiments as we speak.

Apr 29, 2021

Apr 29, 2021

Building autopilots for engineering systems using AI

Iterated offline reinforcement learning and contextual bandits: motivations and research themes

Dec 18, 2020

Building autopilots for engineering systems using AI

Dec 18, 2020

Published in
Towards Data Science

Model-based micro-data reinforcement learning:

What are the crucial model properties and which model to choose?

Dec 9, 2020

Model-based micro-data reinforcement learning:

Dec 9, 2020

Published in
Towards Data Science

How to build a data science pipeline

Jun 26, 2017

How to build a data science pipeline

Jun 26, 2017

Balázs Kégl

Balázs Kégl

Head of AI research, Huawei France, previously head of the Paris-Saclay Center for Data Science. Podcast: https://www.youtube.com/@I.scientist.balazskegl

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