Nathan Gavenski

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.

[Nathan Gavenski @NGavenski]

O mundo não dá voltas, ele capota!😂

https://t.co/qgANvxSE4k

[Nathan Gavenski @NGavenski]

I don't know why, but having a masterclass from @JamieBGall on the beach in Brazil feels better than in London 😂😂😂

[Python Weekly 🐍 @IntPyDiscu]

Made a watcher so I don't have to run my script manually when coding

https://t.co/IwXg0xG3Lh

Discussions: https://t.co/LF96LKAGbM

#programming #python

by @NGavenski

[Royal Institution (now on Bluesky) @Ri_Science]

Set your reminders for the 2024 #XmasLectures, supported by @CGI_global!

🗓️ 29, 30 and 31 December
📺 BBC Four and iPlayer
⏰ 9pm

In the series, @DoctorChrisVT will explore the surprising science of food – from production to digestion.

Find out more: https://t.co/OtbgfQbIUz

[Nathan Gavenski @NGavenski]

Couldn't find the original paper from this, well... back to writing.

[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.

[Nathan Gavenski @NGavenski]

It got better

[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: https://t.co/BZIhF2m0s0

[Nathan Gavenski @NGavenski]

Having to work extra hard to surpass your own method should not be part of writing a new paper 😅

[Nathan Gavenski @NGavenski]

Me: I can finally submit my literature review to a journal.

Journal: ...

Me:

[Nathan Gavenski @NGavenski]

I couldn't agree more. A supportive supervisor has greatly elevated my work and myself as a researcher in the past few years. It is night and day!

[The PhD Place @ThePhDPlace]

Having a supportive supervisor makes SO MUCH difference

[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!

[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.

[Nathan Gavenski @NGavenski]

Thanks to all the authors that made this work possible @odinaldo @drmeneguzzi @michaelluck and Juarez Monteiro

[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)

[Nathan Gavenski @NGavenski]

1/2 We use exploration and path signatures to create expert-like agents few expert samples and no prior knowledge/human intervention.

You can read more about it in: https://t.co/3IPxNsLnKi

And check our public code in: https://t.co/iIFN4o2Zhc

[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!

[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.

[Nathan Gavenski @NGavenski]

Here is something I didn't know I needed 😂 next paper for sure will have loss rider graphs

[Josef Dean @JosefNDean]

Sure matplotlib is cool, but what if I want to load my loss curves into the 2006 hit Flash game LineRider?

[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

https://t.co/dCoNqJnYFX