This week Difan Deng will present his ICML 2026 paper on Neural Attention Search at the AutoML Seminar! 🚀
📅 June 18 · 3:00 PM CET
🔗 Details: automl-seminars.github.io/sc…
🚀Do you want to know how to make your tabular foundation model faster and more scalable? Join our next AutoML Seminar talk by @DHolzmueller about their recent TabICLv2 model!
📅 June 11 · 4 PM CET
🔗automl-seminars.github.io/
🚀 Next #AutoML Seminar
📅 May 28 · 3PM CET
🎤 Pieter Gijsbers
🧠 OpenML — Past, Present, Future
A look back at OpenML’s impact on AI research — and what comes next for open, collaborative AutoML.
🔗 automl-seminars.github.io/sc…
🚀 First #AutoML Seminar of 2026!
📅 Jan 15 · 3:00 PM CET
🎤 Andrei Paleyes: Stop Guessing, Start Discovering Trade-offs in Your ML Models
🔗 automl-seminars.github.io/sc…
🎥 Our latest AutoML Seminar talk is now online!
@RobertTLange presents the latest work from @SakanaAILabs: “ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution.”
👉 Watch here: youtu.be/dAOIer_1INo?si=eO04…
🎙️ Last talk of the year by @RobertTLange : "ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution" Thursday Dec 11 3pm CET
🔗 Details: automl-seminars.github.io/sc…
🎥 Just dropped!
@TomeEftimov on “Benchmarking Beyond Statistics” showing how instance selection algorithmic footprints bring explainability to black-box optimization.
Check it out 👇
🚀 Coming up Nov 20 @ 3 PM CET — @TomeEftimov' talk at the #AutoML Seminar!
Tome will talk about "Benchmarking Beyond Statistics: Data-Driven Footprints for Explainable Black-Box Optimization"