talks
Talks, posters and events, newest first. Generated from _data/cv.yml.
Invited talks (6)
| 2026 | Learning, sharing, and using optimized vibrational coordinates ExoMol 2026, University College London, United Kingdom |
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| 2025 | Normalizing flows: from learning probability distributions to basis-set discovery Linköping University, Sweden |
| 2024 | Learning basis sets in L² and application to computing excited states of molecules BIRS Workshop on Modern Methods for Differential Equations of Quantum Mechanics, Banff, Canada |
| 2023 | Augmenting bases with normalizing flows for solving Schrödinger equations DPG SAMOP Spring Meeting, Germany |
| 2023 | Flow-induced bases and application to quantum molecular physics Machine Learning in Engineering, TU Hamburg, Germany |
| 2021 | Applications of machine learning in quantum simulations of hydrogen bond dynamics Machine Learning for Quantum X, online |
Contributed talks (9)
| 2026 | Learning bases via normalizing flows, applications to solving molecular Schrödinger equations and image compression International Conference on Scientific Computing and Machine Learning, Bath, United Kingdom |
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| 2025 | Learning basis sets using unitary and bounded bijective operators International Conference in Numerical Mathematics and Scientific Computing, Uppsala University, Sweden |
| 2024 | Augmenting spectral methods with invertible neural networks and application to quantum molecular physics ALGORITMY 2024, Podbanské, Slovakia |
| 2024 | Spectral learning for solving molecular Schrödinger equations PINN-PAD: Physics-Informed Neural Networks in Padova, Padova, Italy |
| 2022 | Spectral learning for (ro-)vibrational calculations of weakly bound molecules DPG SAMOP Spring Meeting, Germany |
| 2022 | Deep spectral methods for solving variational problems arising from differential equations HCM Workshop: Synergies Between Data Science and PDE Analysis, Universität Bonn, Germany |
| 2022 | Deep spectral methods for solving variational problems arising from differential equations GAMM Annual Meeting, RWTH Aachen, Germany |
| 2022 | Spectral learning for solving the Schrödinger equation for molecules Computational Methods in Applied Mathematics (CMAM), TU Wien, Austria |
| 2021 | Active learning for computing potential-energy surfaces of molecules Bunsentagung, online |
Posters (5)
| 2025 | Bounds on the generalization error in active learning 6th Northern Lights Deep Learning Conference (NLDL), Tromsø, Norway |
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| 2024 | Computing excited states of molecules using normalizing flows High-Dimensional Quantum Dynamics Conference, Hamburg, Germany |
| 2022 | Deep learning for computing rovibrational spectra of molecules European CFEL and DESY Photon Science Users' Meeting, Hamburg, Germany |
| 2022 | Deep learning for computing spectra of molecules Opening Symposium, Center for Data and Computing in Natural Sciences (CDCS), Hamburg, Germany |
| 2021 | Applications of machine learning in quantum simulations of hydrogen bond dynamics Warsaw Summer School for Quantum Physics and Chemistry, University of Warsaw, Poland |
Seminar talks (3)
| 2021 | Active learning for building potential-energy surfaces of molecular systems Scientific Computing for Molecular Physics seminar, Universität Hamburg |
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| 2021 | Spectral learning for solving infinite-dimensional eigenvalue problems Research seminar on Mathematical Data Analysis, Universität Hamburg |
| 2020 | Active learning: theory and applications Research seminar on Mathematical Data Analysis, Universität Hamburg |
Schools and hackathons
| 2022 | Hausdorff School: Foundational Methods in Machine Learning, Universität Bonn, Germany |
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| 2021 | Helmholtz H3 Hackathon |