14.07.2023

MCML at GECCO 2023

Three Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 3 papers to GECCO 2023. Congrats to our researchers!

A. Giovagnoli • Y. Ma • M. Schubert • V. Tresp
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

L. Schneider • B. Bischl • J. Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

M. Wever • M. Özdogan • E. Hüllermeier
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

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Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

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Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”

Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.

©Florian Generotzky / LMU

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Cracks in the Foundations of Cosmology

Daniel Grün examines cosmological tensions that challenge the Standard Model and may point toward new physics.

29.01.2026

How Machines Can Discover Hidden Rules Without Supervision

ICLR 2025 research shows how self-supervised learning uncovers hidden system dynamics from unlabeled, high-dimensional data.

28.01.2026

Matthias Nießner Co-Founds AI Startup Synthesia

Julien Gagneur comments on DeepMind’s AlphaGenome, highlighting its precision and remaining challenges in genome prediction.