Nathan Gavenski

385 posts

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Nathan Gavenski

Nathan Gavenski

@NGavenski

PhD Student @safe_trusted_ai | Interested in #imitation_learning and #agents | Automating my way to more free time, one time-consuming project at a time.

London Katılım Mayıs 2014
147 Takip Edilen54 Takipçiler
Nathan Gavenski
Nathan Gavenski@NGavenski·
I don't know why, but having a masterclass from @JamieBGall on the beach in Brazil feels better than in London 😂😂😂
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Nathan Gavenski
Nathan Gavenski@NGavenski·
Couldn't find the original paper from this, well... back to writing.
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Nathan Gavenski
Nathan Gavenski@NGavenski·
I'm always curious about what data goes into @GitHubCopilot. Today, when writing LaTeX locally, I decided to try it. My paper has nothing to do with it, so I guess papers also go into it. Nice try Copilot, nice try.
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Nathan Gavenski
Nathan Gavenski@NGavenski·
If you are interested in something that allows you to run scripts automagically after modifying files, here is a package you might enjoy! New release: github.com/NathanGavenski…
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Nathan Gavenski
Nathan Gavenski@NGavenski·
Having to work extra hard to surpass your own method should not be part of writing a new paper 😅
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Nathan Gavenski@NGavenski·
Me: I can finally submit my literature review to a journal. Journal: ... Me:
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Nathan Gavenski
Nathan Gavenski@NGavenski·
Had an amazing time at PhD Connect 2024 in Leeds, and many thanks to @turinginst for organising the event. It is always an excellent opportunity to get to know many other PhD Students and discuss different research topics!
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Nathan Gavenski
Nathan Gavenski@NGavenski·
Yesterday I had the pleasure to present my work at @ecai2024. Thanks to all the authors for the great work, @safe_trusted_ai for supporting me and allowing me to pursue my research and @KingsNMES for the resources and space that makes this work possible.
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Nathan Gavenski
Nathan Gavenski@NGavenski·
1/2 If you are interested in imitation learning and you are @ecai2024, come join me in my talk about our work "Explorative Imitation Learning: A Path Signature Approach for Continuous Environments" I will talk as part of the machine learning 2 session tomorrow (21/10)
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Nandi
Nandi@NandiSchoots·
1/5 Suppose you need 40% of a model's trained parameters to keep 95% of the model’s accuracy What proportion of parameters do you need if you make the model 5x wider? 🤔 Come to tomorrow’s @ecai2024 presentations to find out!
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Nathan Gavenski
Nathan Gavenski@NGavenski·
@Michael_J_Black The review process needs a remake. Reviewing 6-8 papers for conferences on topics that aren't close to your research gives the right excuse to reviewers rely on LLMs. I recently received my first LLM review and it was nonsensical, and the reviewer rejected our work with no basis.
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Michael Black
Michael Black@Michael_J_Black·
AI-generated reviews of scientific papers are increasing, vacuous, and need to be stopped quickly. They reduce author trust in the review process. Proposal: someone who is judged to have submitted such a review is banned from submitting to the same conference/journal for 2 years.
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Nathan Gavenski
Nathan Gavenski@NGavenski·
It was a great experience to go to AAMAS and get to know so many researchers and such a beautiful place! High expectations for @ecai2024, and thrilled to present our current work there.
UKRI CDT in Safe & Trusted AI @ King's & Imperial@safe_trusted_ai

STAI CDT Student @NGavenski presented the demonstration track paper, ‘Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking’ at @AAMASconf Read about the toolkit and Nathan's conference experience 🔗#AAMAS2024 bit.ly/4fO6j4I

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