The official Twitter for the NeurIPS Creative AI Track & the NeurIPS Workshop on Machine Learning for Creativity and Design 🎨
Joined October 2021
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The acceptance notifications for the NeurIPS Creative AI Track are out! This year we saw a wide range of interesting & insightful papers and artworks this year-- loved going through them🤩 Looking forward to seeing everyone in Vancouver soon!
One week left! Get your papers & artworks in by next Friday, Aug 16✨
neurips-creative-ai.github.i…
Due to a number of requests, we are extending the paper & artwork submission deadline to *Aug 16*, 23:59 anywhere on earth.
For more info, see our website: neurips-creative-ai.github.i…
Reminder that submissions for are due Aug 2 for the NeurIPS Creative AI Track! Both papers & artworks, see the open call below for details.
This year, we are joining forces with the NeurIPS Creative AI Track organizers. While there will not a dedicated creativity workshop from us this year, we will organise this year’s NeurIPS 2024 Creative AI Track— please consider submitting by Aug 2! neurips-creative-ai.github.i…
This year, we are joining forces with the NeurIPS Creative AI Track organizers. While there will not a dedicated creativity workshop from us this year, we will organise this year’s NeurIPS 2024 Creative AI Track— please consider submitting by Aug 2! neurips-creative-ai.github.i…
Machine Learning for Creativity and Design retweeted
One thing to note: For this year, the deadline for Creative AI Track is earlier than previous years' workshop.
This year, we are joining forces with the NeurIPS Creative AI Track organizers. While there will not a dedicated creativity workshop from us this year, we will organise this year’s NeurIPS 2024 Creative AI Track— please consider submitting by Aug 2! neurips-creative-ai.github.i…
Machine Learning for Creativity and Design retweeted
At 2pm CT I will be speaking at the Machine Learning for Creativity & Design Workshop at #NeurIPS2023
Come say hi if you are around.
neuripscreativityworkshop.gi…
Machine Learning for Creativity and Design retweeted
Virtually presented "Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface" at #NeurIPS2023 @ML4CDworkshop! Huge thanks to organizers, especially @Lialialiacole who went above & beyond to facilitate my remote poster session!
Machine Learning for Creativity and Design retweeted
Hi, I will present a poster (with a simple demo) about our musical improvisation system "JamSketch Deep alpha" at @ML4CDworkshop in #NeurIPS2023 #neurips23. Let's join the poster session! It will start at 3:30pm.
Machine Learning for Creativity and Design retweeted
slides & demos ready for our LEDITS++ spotlight talk ✨📣 @ NeurIPS Creative ML workshop @ML4CDworkshop
if you are in NeurIPS still, come 🤗
- 11:20 AM
- rooms 252-254
Machine Learning for Creativity and Design retweeted
Also excited to share our work in collaboration with CMU on an LLM-based system to generate biological inspirations at scale! @ML4CDworkshop
neuripscreativityworkshop.gi…
@_bra_ket & @_gugutse_ presenting DeepFloyd IF which does better on text generation than Stable Diffusion XL, Midjourney v5, & DALLE3! They increased the % of params from cross-attention text embeddings to the U-net model for better text understanding & generation.
@zzznah presenting Isotropic Neural Cellular Automata (NCA)! google-research.github.io/se…
Along with @RandazzoEttore presenting Biomaker CA! google-research.github.io/se…
Many thanks to our first speaker @TianweiY presenting “Distribution Matching Distillation (DMD)”— showing crazy-fast image generation over Stable Diffusion! (see video)
Machine Learning for Creativity and Design retweeted
And people at @NeurIPSConf, make sure to check out @AhmedYo_9 & @oohaijen presenting our method to hack generative models at @ML4CDworkshop, tomorrow from 3.30 pm CST!
xitter.cf/gialdegheri/status/171…
🚨Paper alert!🚨
This project was a lot of fun, and I'm particularly happy that it was accepted in @ML4CDworkshop. With @alina_rogalska, @AhmedYo_9 and @oohaijen we propose a method to 'hack' generative models to generate new, uncanny images... 🧵1/ arxiv.org/abs/2310.04816
