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Don't forget that @Goutham35169348 is speaking at CARE tomorrow!

This week at CARE, Gemma Morgan will present "Identifiable Deep Generative Models via Sparse Decoding". 📅 When: Thursday from 11am - 12pm ET 📝 Read the paper: openreview.net/forum?id=vd0on… Tune in live: portal.valencelabs.com/events/post/id…

Join Guillaume Lajoie at #WSAIAM24 as he dives into how ICL works, how we’re trying to make it even better & how it relates to the way humans learn new things. #WorldSummitAI #AI4Good #AIBrains #BYOBrains

This week at CARE we have Johann Brehmer talking about "Weakly supervised causal representation learning" which was joint work with Pim de Haan, Phillip Lippe and Taco Cohen. As usual - Thursday 8 Feb at 11am. Elliot Layne will be the discussant. portal.valencelabs.com/events/post/we…

This week at CARE we have Phillip Lippe talking about BISCUIT (with Sara Magliacane (she/her), Sindy Löwe, Yuki Asano, Taco Cohen & Efstratios Gavves), which is both an cool method and has the best empirical results that I’ve seen in a CRL paper. portal.valencelabs.com/events/post/bi…

CARE continues this week, and we're moving onto methods for temporal data. I loved this particular paper and I'm excited for Phillip Lippe 's talk.

This week at CARE, we depart from disentangled rep learning and move towards identifiability of concepts in large models with a talk by Victor Veitch 🔸. Join us!

We're excited to have Sébastien Lachapelle presenting his work on additive decoding and extrapolation at the CARE reading group tomorrow! bit.ly/3x3kuRu

📢 I'm recruiting a postdoc at UMD 🗓️ Starting in 2024 🖥️🙋 Topics related to human-AI interaction 🔜 Apply by May 31, but earlier if possible! 🤑 $75-$80k+benefits, unencumbered (ie not "big project") funding Link to full post and form for applications in thread. >

This week at CARE (Thursday 11am EST) we have Atticus Geiger presenting his fantastic line of work (with Christopher Potts, Thomas Icard, noahdgoodman, and others) on finding causal abstractions of large language models. Details here: portal.valencelabs.com/events/post/un…

CARE is back this week, and we'll have the pleasure of hearing about Atticus' super cool line of work on making causal abstraction practical in service of interpreting large models.

👀 Getting to learn about causal abstraction from the OG behind causal abstraction?? Don't sleep on this!

📣 Postdoctoral fellowships, up to 24 months to conduct cutting-edge research in Europe. If you would like the Rational Intelligence Lab CISPA to host you, reach out to me directly. 🤝 🗓️ Deadline: 11 September 2024 🙏 RT please 🥺 …sklodowska-curie-actions.ec.europa.eu/news/msca-open…

Join us at CARE today at 11am EST to hear Anish Agarwal talk about a staple of causal inference, synthetic control and intervention. This marks our foray into extrapolation.

This week at CARE, as a treat after the NeurIPS ddl, we have Sorawit (James) Saengkyongam about learning representations for extrapolation! Details here: bit.ly/3UIcM7y

Congratulations to Mila members Aishwarya Agrawal Golnoosh Farnadi Dhanya Sridhar Siva Reddy for pushing the boundaries of AI research on generative models, auditing tools, algorithmic fairness and cultural diversity in natural language processing!

Very excited about this work and other cool research that's brewing around pre-trained autoregressive models and ICL 😎

🇨🇦Yesterday kicked off our annual AICan meeting, bringing together Canada CIFAR AI Chairs from Canada’s three National AI Institutes, Amii, Mila - Institut québécois d'IA and Vector Institute, for 3 days of discussion, collaboration and learning.

Arriving today in Vienna for ICML Conference! I’ll present “Performative Prediction on Games and Mechanism Design” Agentic Markets @ ICML 2024 workshop, in collaboration with Mehrnaz Mofakhami Fernando P. Santos Simon Lacoste-Julien Gauthier Gidel from Mila and UvA openreview.net/forum?id=Bz92E… Details below 1/7🧵

📢 Nidhi and I are looking for a postdoc to work on strategic classification and causal modeling. Nidhi is at ICML so reach out to her if you're there and want to chat about this opportunity. For more details and to apply: nidhihegde.github.io/postdoc2024/