Taraneh Younesian @TYounesian
PhD researcher @vuamsterdam | Machine Learning | Knowledge Graphs Amsterdam Joined February 2020-
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Taraneh Younesian retweeted
If you want to reduce the size of your graph while still maintaining an accurate GNN, which nodes should you select? Which nodes are influential in a graph? Check out our TMLR paper, GRAPES, to get your answer:
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Taraneh Younesian retweeted
Struggling with scaling RGCNs on large knowledge graphs? Check out "ReWise: A Relation-Wise Sampling Framework" by @TYounesian, @pbloemesquire, and Stefan Schlobach from @VUamsterdam now live at #SemanticsConf! Discover this game-changing approach for efficient RGCN training!
Taraneh Younesian retweeted
Attending #NeurIPS2023 this week? Interested in neurosymbolic reasoning or scaling GNNs to large graphs? Then, you might want to drop by our posters to learn about ⚡️ A-NESI and 🍇 GRAPES (@glfrontiers workshop) 1/4
Taraneh Younesian retweeted
I'm at #NeurIPS2023 for the first time! With my collaborators, we'll be presenting 🕵️CQD-A: A data efficient method for answering knowledge graph queries arxiv.org/abs/2301.12313 🍇 GRAPES: Scaling GNN training with GFlowNets arxiv.org/abs/2310.03399 Feel free to reach out!
Taraneh Younesian retweeted
Great news! Our hybrid workshop on Neurosymbolic Generative Models was accepted at ICLR 2023🎉🎉🎉 More details on nesygems.github.io
Taraneh Younesian retweeted
SHAP, LIME, PFI, ... you can interpret ML models with many different methods. It's all fun and games until two methods disagree. What if LIME says X1 has a positive contribution, SHAP says negative? A thread about the disagreement problem, and how to approach it:
An interesting keynote by Mihaela van der Schaar @MihaelaVDS on interpretability and personalized explanations in UAI 2022! #UAI2022
An interesting keynote by Mihaela van der Schaar @MihaelaVDS on interpretability and personalized explanations in UAI 2022! #UAI2022
Taraneh Younesian retweeted
Wanna work at the most exciting boundary in modern AI (combine machine learning and symbolic reasoning), and use it to improve drug safety for kidney patients, in a leading AI team, jointly with medical researchers? Apply for our PhD vacancy before 1 Sep! werkenbij.vu.nl/ad/phd-positio…
Taraneh Younesian retweeted
*Present Failures* ❌ "It doesn't work." ✅ "Here is HOW it fails. I feed X but somehow did not get Y. I believe the core issues lie in steps Z and W. I have ruled out W as the cause. Next, I will design experiments to isolate the step Z."
Taraneh Younesian retweeted
I want to talk about burnout. A brief 🧵... I was well aware I was burnt out in the fall, but it's hard to fully appreciate the impact of burnout in the moment. After 2 weeks of vacation and a month of aggressively blocking daily focus time, the impact has become more clear:
With some delay, I'm happy to announce that our paper "QActor: Active Learning on Noisy Labels" is accepted to ACML 2021! proceedings.mlr.press/v157/younesian… In this paper, we introduce an active learning-based method to relabel data with noisy labels in an efficient manner.
Taraneh Younesian retweeted
How to make steady progress in my research? I worked so damn hard but "IT JUST DOESN'T WORK!"😤 How can I unblock myself quickly and make good progress toward the goals? Below I compiled a list of tips that I found useful. 👇
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