🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Really impressive resource and in particularly useful for computational people.

Excited to share preprint on Therapeutics Data Commons! Paper: arxiv.org/abs/2102.09548 Website: tdcommons.ai TDC is a unifying framework across the entire range of #therapeutics #ML. Ecosystem of tools, leaderboards & community resr 66 ML-ready datasets 22 ML tasks

In this month blog post: everything you always wanted to know about logistic regression (but were afraid to ask). francisbach.com/self-concordan…

Please RT: The AI summer school PAISS 2021 is coming soon! featuring Lourdes Agapito , Francis Bach , Danielle Belgrave , Alex Cristia, Andrew Davison , Pascale Fung, Arthur Gretton , Hannah Kerner , Yann LeCun , Dr. Catherine Nakalembe , Cordelia Schmid.

In partnership w/ Fabian Theis of Helmholtz Munich | @HelmholtzMunich, we’ve built & open sourced #AI that will accelerate discovery of new drug combinations. ai.facebook.com/blog/ai-predic…

It's the first single model to predict effects of combo, dosage, timing, & interventions like gene deletion. Read more: ai.facebook.com/blog/ai-predic…

I couldn't resist. With contributions from Max Kleiman-Weiner

Very happy that this project is out. Contains: a novel perspective on nonlinear multi-view identifiability, allowing dependencies (statistical, causal) among the latent variables; a causal view of data augmentation; a new dataset including camouflaging hares.

Looking for an opportunity to shape the future of AI and machine learning? Apply now to the ETH AI Center Doctoral or Postdoctoral Fellowship 2022! More information on: ai.ethz.ch/education/phd-… #ethaicenter #ETHZ #AI #Machinelearning #phd #postdoc #fellowship #education

🚨 Deadline April 19 🚨 At Intelligent Data Engineering Lab we are hiring a postdoc in the intersection of #causality and #informationTheory (1 year + extension to Dec 2024) for a project on #causal #fusion from #multimodal data: academictransfer.com/en/309955/post… If you're @CLeaR_2022, let's have a chat :)

Fortunate to start my own research group as a TTA professor at New York University (Courant + Tandon) in fall this year! I am very grateful to all the people who made this possible and supported me in many different ways over the years: family, friends, mentors and collaborators! 1/2

The Meta AI mafia: Meet 12 artificial intelligence researchers and engineers who quit Meta for hot startups in everything from predictive medicine to careers businessinsider.com/ai-engineers-a… via @businessinsider

new fan-made NeurIPS 2022 trailer:

Happy to announce the NeurIPS 2022 workshop "A causal view on dynamical systems" 🔄 When: Dec 3, 2022 Where: New Orleans (hybrid) Check out sites.google.com/view/caudyn2022 for CFP, program & all details Please consider submitting your work (deadline: Sept 22nd) and joining us there!

A friend just shared this with me. A great example for how deep learning models struggle with out-of-distribution data. I wonder how many carriages the model has seen during training 😅

Academia to women in academia.....

Very proud to share the results of our collaboration with Anna Klimovskaia Susmelj and Gelly Jean-Christophe on protein family visualization using Poincaré maps, which are now published in Briefings in Bioinformatics! Check the article tinyurl.com/3p2vsak9 and the tool dsimb.inserm.fr/POINCARE_MSA/

GPT-4 should know that my statements about DL never rising above "curve fitting" is not an opinion, nor a "common concern" but a mathematical theorem. You cannot answer causal questions from passive data alone, unless you enrich the data with: (1) causal assumptions or 1/3