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Are those minions?! At a Data Science Meetup? Learning from positive and unlabeled data with Jessa Bekker #dsleuven

We have an award-winning data scientist on stage today 🔥🔥🔥

Interested in joining DTAI as a professor? The Dept of Computer Science, KU Leuven has an opening for a tenured/tenure track position in the area of hybrid artificial intelligence (integrating learning and reasoning) kuleuven.be/personeel/jobs… Computer Science | KU Leuven @LeuvenU #facultyposition

New PU learning settIngs and minions: what’s not to like? Come see work by Jessa Bekker Pieter Robberechts, Jesse Davis being presented at 11:20 in #ecmlpkdd2019 ECML PKDD

Scientists at #ecmlpkdd2019 in Würzburg, Germany stand in support for #FridaysForFuture. It's time for world governments to take meaningful action to tackle #ClimateChange. #ECMLPKDD

Our survey on Learning from Positive and Unlabeled data got published in the Machine Learning Journal! It provides a structured overview of the assumptions that enable learning from this type of data, algorithms and applications. rdcu.be/b3ngl Jesse Davis #PULearning

My tutorial about learning from positive and unlabeled examples (PU Learning), a learning setting that naturally arises in many applications, is now available on dtai.cs.kuleuven.be/pulearning/ Jesse Davis DTAI

Hurray! Our blogpost about employing AI to enable the energy transition is finally out :-) I'm very happy to be part of this interesting and highly relevant project! DTAI

Very proud that my master student Tobias Cornille is one of the 10 nominees for the Flemish thesis price in technology! It's been fun and interesting to work with him on controllable expressive speech synthesis :-) Fingers crossed for Dec21! DTAI @leuvenai

Celebrating DTAI’s 5 (!) accepted papers at AAAI 2022. Congrats to everyone!

Made a little demo for our speech synthesis paper we presented at ICASSP last month. You can generate a sentence in one of the speaking styles and edit the prosody locally. ➡️ huggingface.co/spaces/segment… It's made using Gradio blocks, and hosted on Hugging Face Spaces🤗

Read our paper here: jessa.github.io/assets/pdf/cor… Co-authors: Fengna Wang from Acapela Group and Jessa Bekker from Computer Science | KU Leuven

IJCAI-ECAI 2022's workflow chairs, Vincent, Jessa, and Siegfried, with IJCAI's tech wizard Francisco (Tito). Thanks a million! #IJCAI2022 Siegfried Nijssen Jessa Bekker Vincent Derkinderen

Honoured and humbled to be appointed as the new president of the ECML PKDD #SteeringCommittee! 🙌 ecmlpkdd.org Many thanks for the trust from the Steering Committee and the entire ECML PKDD-community. 1/3

We convert popular knowledge graph embedding (KGE) models such as ComplEx into generative models of triples that 1️⃣ better scale training to very large knowledge graphs 2️⃣ make reliable predictions with logical constraints 3️⃣ support sampling in our #NeurIPS2023 oral!

I had the absolute pleasure to participate in the proceedings around Luc De Raedt's 60th birthday this week. Everything was stimulating, and cool, and though-provoking, and inspiring and we finished things with a great panel: Luc, Holger Hoos, Johannes Fürnkranz, Tias Guns, James Cussens.

Jessa Bekker wins Best Student Paper Award in ILP: dtai.cs.kuleuven.be/news/paper-pos…