🔥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

Visit our poster on using simplicial complexes to describe complex geometry in graphs at #ICML2023: Tomorrow (27/7) 10:30, exhibit hall 1, poster 705!

(1/2) 📢 SEA in September! Only 3 days left to this special edition of SEA with great line of speakers from industry and academia. 🖋️Sign up here: meetup.com/sea-search-eng…

Started my PhD and presented a tutorial at ACM CIKM 2023 🎉 Super excited to have been a part of the tutorial on Data Augmentation for Conversation AI together with @ekanou Faegheh Hasibi and Heydar Soudani. See dataug-convai.github.io for more info

The code for E(n) Equivariant Simplicial Message Passing Networks (ICML, 2023) has been released 🦦 Code: github.com/flooreijkelboo… ArXiv: arxiv.org/abs/2305.07100 Thanks again to Rob and Erik Bekkers for the collab :D

Happy to see more triangles dance in space ❤️ Amazing work by Cong Liu and David Ruhe accepted to #ICLR2024 - thanks for having me be a part of this! 🪿

Super excited to be talking about the intersection between geometric DL and quantum computation! 🐿️ When? 12:30, February 7th Where? Central Hall, Science Park 904 See you there!

Honored to have our paper featured in Maarten de Rijke's keynote at #ECIR2024! This is joint work with Maarten Maarten de Rijke and Avishek Anand Avishek Anand. In this paper, we define feature attribution for ranking models and develop a SHAP-based explanation called RankingSHAP. (1/2) 🧵

Listening to Roxana Petcu talking about data augmentation for task-oriented dialog systems The Web Conference

📣📣 Check out ESSIR 2024's program! We start with Transformers, Foundation Models, and Finetuning, followed by Generative IR, LLMs, (Neural) RecSys, LTR, Evaluation, Explainability, and Fairness. ESSIR features FIDA and a week-long hackathon! 👩🏻‍💻 2024.essir.eu/attending/scho…

Flow Matching goes Variational! 🐳 In recent work, we derive a formulation of flow matching as variational inference, obtaining regular FM as a special case. Joint work with dream team Grigory Bartosh, @chris_naesseth, Max Welling, and Jan-Willem van de Meent. 📜arxiv.org/abs/2406.04843 🧵1/11

Looking forward to Philipp Hager’s talk focusing on various reproducibility issues in IR. #ESSIR24

Effortlessly generate synthetic dialogues given a sequence of intents ! 🤖 Our new ACL 2024 NLP for Conversational AI workshop paper w/ Roxana Petcu, Chuan Meng , Mohammad Aliannejadi , Amin Abolghasemi , @ekanou , and Suzan Verberne 🤹‍♀️ ! 🎉 #ACL2024 #NLP #ConversationalAI #LLMs

Here’s a picture to prove I was actually on stage! And special thanks to Roxana Petcu for so eloquently introducing the Attention Mechanism :)

Super grateful to talk about the Attention Mechanism at the stunning Tuschinski Theatre with David Vos 🎉✨ was fun!

The Search Engines Amsterdam Meetup The IRLab at the University of Amsterdam is back ✨ followed by drinks🍻 📆 Fri, Oct 4th 📍Lab42, room L3.33 ⏰16.00 🚀James Allan (UMass) will talk about Probing Ranking LLMs: Mechanistic Interpretability in Information Retrieval 🔗meetup.com/sea-search-eng…

🚨 PhD position alert! 🚨 I'm hiring a fully funded PhD student to work on mechanistic interpretability at UvA Amsterdam. If you're interested in reverse engineering modern deep learning architectures, please apply: vacatures.uva.nl/UvA/job/PhD-Po…

Generative models excel at images and text, but tabular data remains a challenge.🤔 We introduce 🐈 TabbyFlow 🐈 - a variational flow matching approach with general exponential families for mixed-type tables. Work with Andrés Guzmán-Cordero & Jan-Willem van de Meent accepted to #ICML2025 🎉 👇 1/n