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ELLIS Pre-ICML Fest 2025: We celebrate Freiburg`s AI Science – 3rd July 2025

ELLIS Unit Freiburg paticipated in the Pre-ICML Fest TIME: Friday, 3rd July 2025, 17:30 PM.LOCATION: IMBIT NEXUS Lab, Georges-Köhler-Allee 201, 79110 Freiburg In the lead-up to the 2025 International Conference on Machine Learning (ICML), several ELLIS Units across Europe organized the inaugural ELLIS Pre-ICML Fest—a decentralized initiative aimed at providing ELLIS researchers with Read more

BrAInWorlds – The World in our Heads – 13th March 2025

Date: March 13th, 2025 At BrAInWorlds, around 250 participants embarked on an interactive journey into the fascinating interplay between brain, environment, and perception. Through two immersive installations, visitors experienced firsthand how surroundings shape our internal world models in real time. In the Connected Thinking space, warm yellows, greens, and lively activities encouraged openness Read more

ELLIS / ELIZA Social, June 3rd 2024

Date: June 3rd, 17:30Location: Building 80 Room 00-021 The unit invites everyone interested to the next social event on June 3rd! Get ready for an engaging gathering filled with insightful discussions. A great event to connect with the AI community in Freiburg! This time, there are two ten-minute presentations. The talks are followed by a Read more

2024 AutoML Conference

In 2022 and 2023 we Prof. Dr. Frank Hutter, together with other postdocs and PhD students from the AutoML lab in the ELLIS Unit Freiburg, have organized the AutoML conference, the premier gathering of professionals focussed on the progressive automation of machine learning (ML), aiming to develop automated methods for Read more

[ELLIS Meetup] Efficient Hyperparameter Optimization in the Age of Deep Learning

Speaker: Josif GrabockaDate: 2022-09-23  Josif Grabocka from the Representation Learning Research Group at Uni Freiburg will give a talk titled “Efficient Hyperparameter Optimization in the Age of Deep Learning“. Abstract Hyperparameter Optimization (HPO) is essential in designing state-of-the-art Machine Learning systems. Unfortunately, existing HPO techniques are not efficient enough for Read more