So thrilled to share my latest work accepted to #MIDL2024! Check out the full thread for more details on our DeCoDEx framework for improving counterfactual explanations in medical imaging.

Excited to present on stage in just 30 minutes! Watch our presentation live here: youtu.be/-mV53dZZs9o @MIDL2024 #MIDL2024

🚀 Our paper DeCoDEx has been shortlisted for Best ORAL paper at #MIDL2024! 🎉 Congratulations to PVG students @Nima0fathi and @amar_kumar_1 for this great achievement! 📄 Paper: bit.ly/4bOCVIJ 💻 Code: bit.ly/45UN0SU 📹 YouTube: bit.ly/4cKJqO1

🚀 New Research Blog Live! Our latest post is out: Unifying autoregressive & diffusion language models by Nima Fathi, Torsten Scholak, and Pierre-André Noël. 𝗔𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 and 𝗱𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 have each driven major advances in generative AI — but

Presenting “Unifying Autoregressive and Diffusion Language Models” at #COLM2025 today! 🚀 Come chat if you’re curious about bridging AR & diffusion models (Poster #48, 16:30–18:30). Project Page: hdlm-colm.github.io ServiceNow Blog: servicenow.com/blogs/2025/aut… #dLLM #dLLMs