Automated Algorithm Design
Keynote, AutoML Conference 2026, Ljubljana, Slovenia
Keynote speaker at AutoML 2026, held September 28 – October 1, 2026 in Ljubljana, Slovenia.
Talks and presentations
Efficiently Evolving Algorithms for Real-World Applications
Keynote, Workshop on Learning-assisted Algorithm Design (IJCAI-LEAD 2026), Bremen, Germany
Abstract
What if evolutionary computation is not just a tool for optimization, but a design engine for algorithms themselves?
LLMs for Optimization in Code-Spaces: From Metaheuristic Design to AutoML
Invited lecture, AutoML summer school, Dortmund, Germany
Invited lecture at the AutoML summer school on LLMs for optimization in code-spaces, covering LLaMEA, LLaMEA-BO, and our newest work applying LLaMEA to optimize ML pipelines in code-space.
Towards a Universal Algorithm Constructor: Evolutionary Computation in the Age of LLMs
Keynote, ECADA workshop, GECCO 2026, Costa Rica
Abstract
What if evolutionary computation is not just a tool for optimization, but a design engine for algorithms themselves?
Automatic Algorithm Design with LLMs and Evolutionary Computation
Invited lecture, Peking University summer school "Swarm Intelligence & Large Language Models: Intersection, Collision, and Academic Frontiers", China
Invited lecture on automatic algorithm design with LLMs and evolutionary computation, covering LLaMEA and how to apply it to real-world cases. Given at the Peking University summer school “Swarm Intelligence & Large Language Models: Intersection, Collision, and Academic Frontiers”.
Evolving Knowledge: What Evolutionary Search and Agentic LLMs can teach us
Invited keynote, AI in Education: Impact, Insights, & Innovation, Leiden, The Netherlands
Invited keynote for the “AI in Education: Impact, Insights, & Innovation” conference at Leiden University, on what evolutionary search and agentic LLMs can teach us.
Explainable Automated Algorithm Design
Invited keynote, Auto-Learn SI workshop, Ljubljana, Slovenia
Invited keynote for the Auto-Learn SI workshop focusing on explainable approaches to automated algorithm design.
Automated Algorithm Design
Invited talk, AutoML Seminar Series, Online
Invited talk for the AutoML Seminar Series.
Automated Algorithm Design
Invited talk, AutoML summer school, Tübingen, Germany
Invited talk for the AutoML summer school in Tübingen, Germany (June 10–13, 2025).
XAI for Time Series
Invited talk, TU Delft, Delft, The Netherlands
Invited talk on explainable AI for time series at TU Delft.
LLaMEA for Automated Algorithm Design
Invited talk, AToNIIC lecture series, Online
Invited talk for the AToNIIC lecture series: https://altzanetos.com/atoniic/llamea-llm-ea-for-automatically-generating-metaheuristics/ (February 20, 2025, 15:00 CET).
Evaluating XAI
Invited talk, XAI-NL meetup, Maastricht, The Netherlands
Invited talk on evaluating explainable AI at the XAI-NL meetup.
Explainable AI
Invited talk, Alice and Eve 2024, Leiden, The Netherlands
Invited talk on explainable AI at Alice and Eve 2024.
XAI for Healthcare
Invited talk, VZI HealthTech 2024, Utrecht, The Netherlands
Invited talk on explainable AI for healthcare at VZI HealthTech 2024.
XAI for Predictive Maintenance
Invited talk, Microsoft Netherlands, Schiphol, The Netherlands
Invited talk on explainable AI for predictive maintenance at Microsoft Netherlands.
XAI in Industry
Invited talk, SAILS Lunch Time Seminar, Online
Invited talk on applications of explainable AI in industry at the SAILS Lunch Time Seminar.
Computers Don’t Byte: XAI
podcast, LIACS podcast, Online
🚢⚙️ Exciting News: “Computers Don’t Byte” Podcast by LIACS! 🎙️
Neural Architecture Search VS Black Box Optimization
Invited talk, BMW invited presentation, Munich, Germany
Invited presentation at BMW headquarters
Automated Deep Learning
Invited talk, SAILS 2020,
Invited presentation at SAILS (online)
Deep Learning, A broad introduction
Invited talk, Ecole Summer school, Leiden, The Netherlands
Invited talk for the Summer school for Early Stage Researchers. This summer school takes place within the EU project Experience-based Computation: Learning to Optimise (ECOLE), which investigates novel synergies between nature-inspired optimisation and machine learning to address key challenges faced by the European industry.
Deep Steel: Optimizing networks to discover defects on steel surface
Invited talk, Tata Steel, IJmuiden, The Netherlands
Invited talk at Tata Steel, about using deep learning to discover steel surface defects.
Deep Steel: Optimizing networks to discover defects on steel surface
Invited talk, ECOLE workshop, Leiden, The Netherlands
Invited talk for the ECOLE program, learning to optimize.
From Data to Knowledge to Optimization
Invited talk, PhD Colloquium, Leiden, The Nethehrlands
Invited talk for thhe PhH Colloquium with Math and Informatics
Fuzzy Clustering for Optimally Weighted Cluster Kriging
Invited talk, PhD Seminar, Liacs, Leiden, The Netherlands
Invited talk for the PhD Seminar at LIACS, Leiden University
Datamining & Apps
Invited talk at the CWI, Amsterdam