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Happy to announce that our paper "Neural OCR Post-Hoc Correction of Historical Corpora" with Lijun Lyu, Maria Koutraki and Martin Krickl got accepted at #TACL #NLProc. arxiv.org/pdf/2102.00583…

Very excited 🤩 to open the first edition of eXplainable AI Summer School tomorrow in Delft 🇳🇱 Looking forward to meeting you all 🤗 xaiss.eu #xaiss #tudelft #l3s #sobigdata

And we are underway..#xaiss starts with the Keynote from Mihaela van der Schaar on New frontiers in ML interpretability.

So glad to win this prize for my master thesis! Thanks for your help and support Lijun Lyu and Avishek Anand, it is a good start of this wonderful journey! Cheers☺️

Happy to share our survey about explainable IR, comments are appreciated. Avishek Anand Max Idahl Jonas Wallat Yumeng Wang Joshua Ghost

Reminder! #DIR2023 is almost upon us 😉 Interested in presenting your published work, emerging research direction, & even resources of interest to #IR community during special sessions? Submit the contribution form by October 14. More details: dir2023.github.io/DIR2023/

We are ready for the #IRforGood day at #ECIR2024! ECIR2024 @alisarieg Lijun Lyu

Glad to see other fellow WIS Delft sprinkling gifs on their slides , in this case Lijun Lyu discussing how #interpretability can be good for IR #IRforGood at #ECIR2024

Had a fantastic first day already at #ICML2024 Such a great surprise to meet old friends. Feel sorry you missed so much fun and ☀️ Avishek Anand Harrie Oosterhuis

Today for poster session 3 from 11:30 to 13:00, at Hall C4-9 #2607, I will present our paper with Harrie Oosterhuis and Avishek Anand about local feature selection for interpretable ML. Join me to discuss building intrinsically interpretable models, and the pitfalls previous work fell into.