Excited to announce that I'll be starting my own lab in Tübingen this October!
Hiring at all levels: Postdoc, PhD & RA.
Want to work on computational cognitive science at scale? Apply: https://t.co/cGX9UfVjwo
Reposts and shares much appreciated 🙏
It’s almost bitterly funny how we trick ourselves without even knowing it.
Maybe the hardest challenge is to spot the story, re-narrate it in a more compassionate and fair way, and finally find a way out of the swamp...
[and waiting for the next swamp?:)) ]
It’s funny how easily our brain adapts to feelings, especially the negative ones like fear, anxiety, and sadness. They’re so familiar/safer that we keep circling back to them.
What’s even darker is how much we buy into the stories our mind tells us about our past and present.
Those stories sink into our subconscious, then we act in ways that prove them true (without realizing it). Over time, the repetition makes us feel like victims, slipping into a state of “learned helplessness”.
Hosted a fantastic Workshop on Interpretability and Algorithmic Recourse @Saar_Uni last week! Grateful for the diverse set of exciting research presented and the many insightful discussions.
Prediction sets for node classification with a guarantee of covering the true label? Also, without any assumption on the data distribution and the model? Check our last paper at #ICML2023#ICML23 on "Conformal Prediction Sets for Graph Neural Networks"
https://t.co/i0onJbB3Tq
Both @icmlconf and @NeurIPSConf held in the US in 2022-23! The US is one of the most visa unfriendly states (appointment wait times 6+ months, processing another 6+ months), this is significantly hurting diversity & inclusion. We should strive to do better! #ICML2023#NeurIPS2023
Hi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁
🚨 Causal normalizing flows: from theory to practice 🚨
I am really excited about this work! Check this image, and scroll down if you want to know more 👀
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🚨 #VAMoH is available! 🚨
Exciting news! 🥳 Our latest paper “Variational Mixture of HyperGenerators for learning distributions over functions” is now on ArXiv.
Link: https://t.co/9eSYtM4XDu
@ML_pablosm@IgnacioPeis Pablo M. Olmos @IValeraM#GenerativeModeling
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Extremely happy to share that our paper "Probing Graph Representation" with Vijay Lingam and @abojchevski has been accepted at @aistats_conf. See everyone in Spain.
More details to come soon. ⚡
Is having multiple modalities a blessing or a curse? What is a good representation? Let's find out together!
We are proud to announce the 1st hybrid workshop on Multimodal Representation Learning at #ICLR2023 (@iclr_conf) 🚀
More info: https://t.co/EvoMrhi4VN
Our workshop on multimodal representation learning has been accepted at #ICLR2023 🎉🎉
We'll soon announce more details, but if you have any ongoing work on the topic, don't think twice and start preparing those submissions! 💪