Antonia Wüst

@toniwuest.bsky.social

PhD student at AIML Lab TU Darmstadt Interested in concept learning, neuro-symbolic AI and program synthesis

Thrilled to be in beautiful Rio this week for #CogSci2026! 🥥🌴🇧🇷 I'll be giving a talk tomorrow at 11:05 AM at the Foundations for Foundation Models workshop on improving visual reasoning of VLMs via program synthesis. Looking forward to great discussions!

Can AI agents act like scientists when reasoning about visual scenes? 🔬 Not just label what they see, but form explicit hypotheses, design experiments to test them, and revise their beliefs in light of the evidence. We built ZendoWorld to find out!

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🚨Last week to apply for a 3 year postdoc with me and @dominikdeffner.bsky.social, embedded in theadaptivemind-excellencecluster.de Focus is on developing innovative experiments and computational models to understand social & cultural learning. Deadline is March 30th 👉 hmc-lab.com/SocialLearni...

Postdoc position -- Social Learning and Cultural Evolution

Postdoc position -- Social Learning and Cultural Evolution posted on March 2, 2026 We are currently seeking a highly motivated individual...

hmc-lab.com

Charley Wu@thecharleywu.bsky.social · 5mo ago

🚀 Postdoc Alert! Are you passionate about social learning & cultural evolution? @dominikdeffner.bsky.social & I have a 3-year position with freedom to develop your research and work on cutting-edge multiplayer and immersive experiments. Apply by March 30! hmc-lab.com/SocialLearni... Pls share 🙏

We are extending the deadline to submit abstracts for the poster session to 21 March 2026 (AoE)! 🗓️ We invite researchers to present recent work on topics regarding human and artificial creativity. Previously published work is welcome 🤗 📥 Register and submit your abstract here: eveeno.com/342278190

RMU AI and Creativity Symposium

eveeno.com

Antonia Wüst@toniwuest.bsky.social · 6mo ago

We are pleased to announce a one-day symposium on AI and Creativity in Darmstadt! Join us for an inspiring lineup of speakers and a full day dedicated to exploring creativity in modern machine learning models and the relationship between biological and artificial creation. 🎨🤖

Excited to share that our paper "Synthesizing Visual Concepts as Vision-Language Programs" has been accepted to #CVPR2026! 🎉 We propose a novel method that combines VLMs with symbolic program synthesis to learn reliable programs of visual concepts. 🌐 ml-research.github.io/vision-langu...

Antonia Wüst@toniwuest.bsky.social · 8mo ago

🚨 New paper alert! We introduce Vision-Language Programs (VLP), a neuro-symbolic framework that combines the perceptual power of VLMs with program synthesis for robust visual reasoning.

We are pleased to announce a one-day symposium on AI and Creativity in Darmstadt! Join us for an inspiring lineup of speakers and a full day dedicated to exploring creativity in modern machine learning models and the relationship between biological and artificial creation. 🎨🤖

Rhein-Main-Universitäten@rheinmainunis.bsky.social · 6mo ago

Join the RMU AI & Creativity Symposium on 16 April 2026 in Darmstadt! Visit the RMU website for information, registration and abstract submission: www.rhein-main-universitaeten.de/en/news/save... @goetheuni.bsky.social, @unimainz.bsky.social @tuda.bsky.social 📷 TU Darmstadt / Felipe Fernandes

After an amazing time in LA and Joshua Tree Park, I’m excited to head to NeurIPS next week. My colleagues and I will be presenting some of our recent work (see below). Looking forward to connecting and starting new conversations. Feel free to reach out if you want to chat! 💬

🚨 New paper alert! We introduce Vision-Language Programs (VLP), a neuro-symbolic framework that combines the perceptual power of VLMs with program synthesis for robust visual reasoning.

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Unfortunately, our submission to #NeurIPS didn’t go through with (5,4,4,3). But because I think it’s an excellent paper, I decided to share it anyway. We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff! 📝 arxiv.org/abs/2412.06014

Post-hoc Probabilistic Vision-Language Models

Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs deterministically map images and text descripti...

arxiv.org

Can the new GPT-5 model finally solve Bongard Problems? 👉Not quite yet! Using our ICML Bongard in Wonderland setup, it solved 64/100 problems - the best score so far! 📈 However, some issues still persist ⬇️

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